{"data":[{"id":"10.5281/zenodo.22828248","type":"dois","attributes":{"doi":"10.5281/zenodo.22828248","identifiers":[{"identifier":"oai:zenodo.org:22828248","identifierType":"oai"}],"creators":[{"nameType":"Personal","affiliation":["Consejo Superior de Investigaciones Científicas"],"givenName":"Giacomo","familyName":"Picardi","name":"Picardi, Giacomo","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-9066-692X"}]},{"nameType":"Personal","affiliation":["Khalifa University of Science and Technology"],"givenName":"Saverio","familyName":"Iacoponi","name":"Iacoponi, Saverio","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-7790-2748"}]},{"nameType":"Personal","givenName":"Mrudul","familyName":"Chellapurath","name":"Chellapurath, Mrudul","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-7145-0912"}],"affiliation":[]},{"nameType":"Personal","affiliation":["Scuola Superiore Sant'Anna","The University of Lincoln"],"givenName":"Marcello","familyName":"CALISTI","name":"CALISTI, Marcello","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0002-2590-188X"}]}],"titles":[{"title":"Underwater Robotic Joint (URJ) - CAD design files"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"underwater robotics"},{"subject":"Robotics","subjectScheme":"MeSH"},{"subject":"open hardware"},{"subject":"underwater actuator"},{"subject":"CAD"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsSupplementedBy","resourceTypeGeneral":"Software","relatedIdentifier":"https://github.com/gpicardi/Open-Toolkit-for-Underwater-Actuation-and-Bio-inspired-Robotics","relatedIdentifierType":"URL"},{"relationType":"IsDerivedFrom","resourceTypeGeneral":"Other","relatedIdentifier":"https://cad.onshape.com/documents/0a285a5160ca11342abc54f7/v/a87229cf6caf7ab29dcbdb2f/e/3217c5f761f1cfa757d05dcc","relatedIdentifierType":"URL"},{"relationType":"IsPartOf","resourceTypeGeneral":"Other","relatedIdentifier":"https://cad.onshape.com/documents/34402dba64ce1250bcea8ac1/v/df3b206351e93bc1e949439c/e/421de2a9f54ad70c6c42c07b","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22828247","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"© 2026, Giacomo Picardi, Saverio Iacoponi, Mrudul Chellapurath, Marcello Calisti"}],"descriptions":[{"descriptionType":"Abstract","description":"CAD design files (STEP format), fabrication drawings, and a 3D-printable component (STL) for the Underwater Robotic Joint (URJ), a depth-rated, modular actuation unit for underwater manipulators, grippers, and legged robots. Part of the Open Toolkit for Underwater Actuation and Bio-inspired Robotics. Includes custom components (canister, front/rear caps, shaft) with fabrication drawings, standard/commercial parts used in assembly, and one 3D-printed part. Software and full system documentation: https://github.com/gpicardi/Open-Toolkit-for-Underwater-Actuation-and-Bio-inspired-Robotics"}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22828248","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-09-18T10:31:22Z","registered":"2026-09-18T10:31:22Z","published":null,"updated":"2026-09-18T10:38:47Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22828247","type":"dois","attributes":{"doi":"10.5281/zenodo.22828247","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["Consejo Superior de Investigaciones Científicas"],"givenName":"Giacomo","familyName":"Picardi","name":"Picardi, Giacomo","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-9066-692X"}]},{"nameType":"Personal","affiliation":["Khalifa University of Science and Technology"],"givenName":"Saverio","familyName":"Iacoponi","name":"Iacoponi, Saverio","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-7790-2748"}]},{"nameType":"Personal","givenName":"Mrudul","familyName":"Chellapurath","name":"Chellapurath, Mrudul","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-7145-0912"}],"affiliation":[]},{"nameType":"Personal","affiliation":["Scuola Superiore Sant'Anna","The University of Lincoln"],"givenName":"Marcello","familyName":"CALISTI","name":"CALISTI, Marcello","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0002-2590-188X"}]}],"titles":[{"title":"Underwater Robotic Joint (URJ) - CAD design files"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"underwater robotics"},{"subject":"Robotics","subjectScheme":"MeSH"},{"subject":"open hardware"},{"subject":"underwater actuator"},{"subject":"CAD"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsSupplementedBy","resourceTypeGeneral":"Software","relatedIdentifier":"https://github.com/gpicardi/Open-Toolkit-for-Underwater-Actuation-and-Bio-inspired-Robotics","relatedIdentifierType":"URL"},{"relationType":"IsDerivedFrom","resourceTypeGeneral":"Other","relatedIdentifier":"https://cad.onshape.com/documents/0a285a5160ca11342abc54f7/v/a87229cf6caf7ab29dcbdb2f/e/3217c5f761f1cfa757d05dcc","relatedIdentifierType":"URL"},{"relationType":"IsPartOf","resourceTypeGeneral":"Other","relatedIdentifier":"https://cad.onshape.com/documents/34402dba64ce1250bcea8ac1/v/df3b206351e93bc1e949439c/e/421de2a9f54ad70c6c42c07b","relatedIdentifierType":"URL"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22828248","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"© 2026, Giacomo Picardi, Saverio Iacoponi, Mrudul Chellapurath, Marcello Calisti"}],"descriptions":[{"descriptionType":"Abstract","description":"CAD design files (STEP format), fabrication drawings, and a 3D-printable component (STL) for the Underwater Robotic Joint (URJ), a depth-rated, modular actuation unit for underwater manipulators, grippers, and legged robots. Part of the Open Toolkit for Underwater Actuation and Bio-inspired Robotics. Includes custom components (canister, front/rear caps, shaft) with fabrication drawings, standard/commercial parts used in assembly, and one 3D-printed part. Software and full system documentation: https://github.com/gpicardi/Open-Toolkit-for-Underwater-Actuation-and-Bio-inspired-Robotics"}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22828247","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-09-18T10:31:24Z","registered":"2026-09-18T10:31:24Z","published":null,"updated":"2026-09-18T10:38:47Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22813457","type":"dois","attributes":{"doi":"10.5281/zenodo.22813457","identifiers":[{"identifier":"oai:zenodo.org:22813457","identifierType":"oai"}],"creators":[{"nameType":"Personal","affiliation":["Euphrates Institute of Surgical Research"],"givenName":"Cormac","familyName":"O'Brien","name":"O'Brien, Cormac","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Mekong Institute for Advanced Surgical Research"],"givenName":"Siobhan","familyName":"Murphy","name":"Murphy, Siobhan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Aoife","familyName":"Murphy","name":"Murphy, Aoife","nameIdentifiers":[]}],"titles":[{"title":"A Retrospective Cohort Study of robotic-assisted surgery in elderly surgical patients with cholelithiasis"}],"publisher":"Somato Publications","container":{},"publicationYear":2026,"subjects":[{"subject":"Robotic-assisted surgery"},{"subject":"Laparoscopic cholecystectomy"},{"subject":"Cholelithiasis"},{"subject":"Elderly"},{"subject":"Retrospective cohort study"}],"contributors":[],"dates":[{"date":"2026-01-27","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22813456","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Background: Robotic-assisted cholecystectomy has expanded rapidly, but comparative outcome data specific to elderly patients\nwith cholelithiasis remain limited. This study compares robotic-assisted cholecystectomy (RAC) with conventional laparoscopic\ncholecystectomy (LC) in patients aged 65 years and older.\nMethods: We conducted a retrospective cohort study of patients aged 65 years or older undergoing RAC or LC for cholelithiasis\nbetween January 2016 and December 2023. Propensity score matching (1:1) on age, sex, body mass index, ASA class, Charlson\nComorbidity Index, and indication yielded 148 matched pairs. Perioperative outcomes, 30-day Clavien-Dindo complications,\nreadmission, and mortality were compared.\nResults: Operative time was longer with RAC (94.6 vs 68.2 minutes, p\u003c0.001), while conversion to open surgery was lower (3.7% vs\n9.5%, p=0.038), length of stay was shorter (median 1 vs 2 days, p=0.006), and 30-day complications were fewer (12.8% vs 21.6%,\np=0.041). Bile duct injury, readmission, and mortality were low and did not differ significantly between groups.\nConclusion: In elderly patients with cholelithiasis, robotic-assisted cholecystectomy was associated with a lower conversion rate,\nshorter length of stay, and fewer complications than laparoscopic cholecystectomy, despite a longer operative time, supporting its\nuse as a safe alternative in carefully selected older patients."},{"descriptionType":"Other","description":"Copyright (C) 2026 O'Brien et al."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22813457","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-09-18T09:31:05Z","registered":"2026-09-18T09:31:05Z","published":null,"updated":"2026-09-18T09:31:05Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22813456","type":"dois","attributes":{"doi":"10.5281/zenodo.22813456","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["Euphrates Institute of Surgical Research"],"givenName":"Cormac","familyName":"O'Brien","name":"O'Brien, Cormac","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Mekong Institute for Advanced Surgical Research"],"givenName":"Siobhan","familyName":"Murphy","name":"Murphy, Siobhan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Aoife","familyName":"Murphy","name":"Murphy, Aoife","nameIdentifiers":[]}],"titles":[{"title":"A Retrospective Cohort Study of robotic-assisted surgery in elderly surgical patients with cholelithiasis"}],"publisher":"Somato Publications","container":{},"publicationYear":2026,"subjects":[{"subject":"Robotic-assisted surgery"},{"subject":"Laparoscopic cholecystectomy"},{"subject":"Cholelithiasis"},{"subject":"Elderly"},{"subject":"Retrospective cohort study"}],"contributors":[],"dates":[{"date":"2026-01-27","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22813457","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Background: Robotic-assisted cholecystectomy has expanded rapidly, but comparative outcome data specific to elderly patients\nwith cholelithiasis remain limited. This study compares robotic-assisted cholecystectomy (RAC) with conventional laparoscopic\ncholecystectomy (LC) in patients aged 65 years and older.\nMethods: We conducted a retrospective cohort study of patients aged 65 years or older undergoing RAC or LC for cholelithiasis\nbetween January 2016 and December 2023. Propensity score matching (1:1) on age, sex, body mass index, ASA class, Charlson\nComorbidity Index, and indication yielded 148 matched pairs. Perioperative outcomes, 30-day Clavien-Dindo complications,\nreadmission, and mortality were compared.\nResults: Operative time was longer with RAC (94.6 vs 68.2 minutes, p\u003c0.001), while conversion to open surgery was lower (3.7% vs\n9.5%, p=0.038), length of stay was shorter (median 1 vs 2 days, p=0.006), and 30-day complications were fewer (12.8% vs 21.6%,\np=0.041). Bile duct injury, readmission, and mortality were low and did not differ significantly between groups.\nConclusion: In elderly patients with cholelithiasis, robotic-assisted cholecystectomy was associated with a lower conversion rate,\nshorter length of stay, and fewer complications than laparoscopic cholecystectomy, despite a longer operative time, supporting its\nuse as a safe alternative in carefully selected older patients."},{"descriptionType":"Other","description":"Copyright (C) 2026 O'Brien et al."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22813456","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T09:31:03Z","registered":"2026-09-18T09:31:03Z","published":null,"updated":"2026-09-18T09:31:03Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22813438","type":"dois","attributes":{"doi":"10.5281/zenodo.22813438","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["Tajo Institute of Surgical Research"],"givenName":"Orla","familyName":"O'Brien","name":"O'Brien, Orla","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Declan","familyName":"Byrne","name":"Byrne, Declan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Cormac","familyName":"Gallagher","name":"Gallagher, Cormac","nameIdentifiers":[]}],"titles":[{"title":"A Retrospective Cohort Study of robotic-assisted surgery in elderly surgical patients with incisional hernia"}],"publisher":"Somato Publications","container":{},"publicationYear":2025,"subjects":[{"subject":"robotic surgery"},{"subject":"incisional hernia"},{"subject":"elderly"},{"subject":"retrospective cohort study"},{"subject":"surgical outcomes"}],"contributors":[],"dates":[{"date":"2025-02-07","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22813439","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Background: Robotic-assisted platforms have been adopted increasingly for ventral and incisional hernia repair, but outcome\ndata specific to elderly patients, in whom the trade-off between operative time and wound morbidity may weigh differently,\nremain limited [@warren2017, @carbonell2018].\nObjective: To compare perioperative and postoperative outcomes between robotic-assisted and open repair of incisional hernia in\npatients aged 65 years and older.\nMethods: We performed a retrospective cohort study of 180 consecutive patients aged ≥65 years undergoing elective midline\nincisional hernia repair (90 robotic-assisted, 90 open) at three affiliated centers between 2018 and 2023, with a minimum\n12-month follow-up and comparison of length of stay, wound complications, and recurrence [@muysoms2009, @dindo2004].\nResults: Robotic-assisted repair was associated with significantly shorter hospital stay (2.1 vs 5.4 days, p\u003c0.001) and lower rates of\n30-day surgical site infection (4.4% vs 15.6%, p=0.010) than open repair, at the cost of longer operative time (158 vs 112 minutes,\np\u003c0.001); hernia recurrence did not differ significantly between groups (5.6% vs 12.2%, p=0.12) [@olavarria2020, @petro2021].\nConclusions: In this elderly cohort, robotic-assisted incisional hernia repair reduced wound morbidity and length of stay relative\nto open repair without compromising recurrence, supporting its use in carefully selected older patients pending larger prospective,\nage-stratified trials [@aiolfi2021, @henriksen2020]."},{"descriptionType":"Other","description":"Copyright (C) 2025 O'Brien et al."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22813438","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":1,"versionOfCount":0,"created":"2026-09-18T09:30:50Z","registered":"2026-09-18T09:30:50Z","published":null,"updated":"2026-09-18T09:30:50Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22813439","type":"dois","attributes":{"doi":"10.5281/zenodo.22813439","identifiers":[{"identifier":"oai:zenodo.org:22813439","identifierType":"oai"}],"creators":[{"nameType":"Personal","affiliation":["Tajo Institute of Surgical Research"],"givenName":"Orla","familyName":"O'Brien","name":"O'Brien, Orla","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Declan","familyName":"Byrne","name":"Byrne, Declan","nameIdentifiers":[]},{"nameType":"Personal","affiliation":["Yamuna Research Center for Surgical Research"],"givenName":"Cormac","familyName":"Gallagher","name":"Gallagher, Cormac","nameIdentifiers":[]}],"titles":[{"title":"A Retrospective Cohort Study of robotic-assisted surgery in elderly surgical patients with incisional hernia"}],"publisher":"Somato Publications","container":{},"publicationYear":2025,"subjects":[{"subject":"robotic surgery"},{"subject":"incisional hernia"},{"subject":"elderly"},{"subject":"retrospective cohort study"},{"subject":"surgical outcomes"}],"contributors":[],"dates":[{"date":"2025-02-07","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22813438","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Background: Robotic-assisted platforms have been adopted increasingly for ventral and incisional hernia repair, but outcome\ndata specific to elderly patients, in whom the trade-off between operative time and wound morbidity may weigh differently,\nremain limited [@warren2017, @carbonell2018].\nObjective: To compare perioperative and postoperative outcomes between robotic-assisted and open repair of incisional hernia in\npatients aged 65 years and older.\nMethods: We performed a retrospective cohort study of 180 consecutive patients aged ≥65 years undergoing elective midline\nincisional hernia repair (90 robotic-assisted, 90 open) at three affiliated centers between 2018 and 2023, with a minimum\n12-month follow-up and comparison of length of stay, wound complications, and recurrence [@muysoms2009, @dindo2004].\nResults: Robotic-assisted repair was associated with significantly shorter hospital stay (2.1 vs 5.4 days, p\u003c0.001) and lower rates of\n30-day surgical site infection (4.4% vs 15.6%, p=0.010) than open repair, at the cost of longer operative time (158 vs 112 minutes,\np\u003c0.001); hernia recurrence did not differ significantly between groups (5.6% vs 12.2%, p=0.12) [@olavarria2020, @petro2021].\nConclusions: In this elderly cohort, robotic-assisted incisional hernia repair reduced wound morbidity and length of stay relative\nto open repair without compromising recurrence, supporting its use in carefully selected older patients pending larger prospective,\nage-stratified trials [@aiolfi2021, @henriksen2020]."},{"descriptionType":"Other","description":"Copyright (C) 2025 O'Brien et al."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22813439","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T09:30:47Z","registered":"2026-09-18T09:30:47Z","published":null,"updated":"2026-09-18T09:30:47Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22827681","type":"dois","attributes":{"doi":"10.5281/zenodo.22827681","identifiers":[],"creators":[{"nameType":"Personal","familyName":"eSUN 3D Printing Materials","name":"eSUN 3D Printing Materials","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"Additive Manufacturing of Humanoid Robot Components Using eSUN PA-CF and FlexOne 55A Elastic Resin"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"humanoid robotics"},{"subject":"additive manufacturing"},{"subject":"3D printing"},{"subject":"FDM"},{"subject":"FFF"},{"subject":"photocuring"},{"subject":"polymer materials"},{"subject":"PA-CF"},{"subject":"FlexOne 55A"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22827682","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Humanoid robots require components with substantially different mechanical functions, ranging from rigid and load-bearing structures to flexible and compliant elements. This creates a materials challenge: no single polymer is likely to provide the complete combination of stiffness, strength, flexibility, wear resistance, dimensional stability, and processability required across an entire humanoid robot.\n\nAt Formnext Asia Shenzhen 2026, eSUN presented a humanoid robot demonstrator manufactured using multiple polymer 3D printing material technologies. According to eSUN's published application information, the robot's main structural components, housings, limbs, and other parts were produced by 3D printing. The structural components were primarily printed with eSUN PA-CF carbon-fiber-reinforced nylon, while selected areas requiring flexibility and cushioning were printed with a one-component elastic resin. [1] [2]\n\nThis technical application note examines how these two material routes can address different functional requirements in humanoid robot component development. The discussion focuses on material characteristics, additive manufacturing process considerations, lattice-based design concepts, and the potential role of polymer 3D printing in rapid prototyping and low-volume functional manufacturing.\n\nThis report documents an application example and material-selection approach. It is not an independent robot-level performance validation and does not claim measured improvements in total robot energy consumption, motion speed, actuator life, payload, or system reliability."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22827681","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T09:29:03Z","registered":"2026-09-18T09:29:04Z","published":null,"updated":"2026-09-18T09:29:04Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22827682","type":"dois","attributes":{"doi":"10.5281/zenodo.22827682","identifiers":[{"identifier":"oai:zenodo.org:22827682","identifierType":"oai"}],"creators":[{"nameType":"Personal","familyName":"eSUN 3D Printing Materials","name":"eSUN 3D Printing Materials","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"Additive Manufacturing of Humanoid Robot Components Using eSUN PA-CF and FlexOne 55A Elastic Resin"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"humanoid robotics"},{"subject":"additive manufacturing"},{"subject":"3D printing"},{"subject":"FDM"},{"subject":"FFF"},{"subject":"photocuring"},{"subject":"polymer materials"},{"subject":"PA-CF"},{"subject":"FlexOne 55A"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22827681","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Humanoid robots require components with substantially different mechanical functions, ranging from rigid and load-bearing structures to flexible and compliant elements. This creates a materials challenge: no single polymer is likely to provide the complete combination of stiffness, strength, flexibility, wear resistance, dimensional stability, and processability required across an entire humanoid robot.\n\nAt Formnext Asia Shenzhen 2026, eSUN presented a humanoid robot demonstrator manufactured using multiple polymer 3D printing material technologies. According to eSUN's published application information, the robot's main structural components, housings, limbs, and other parts were produced by 3D printing. The structural components were primarily printed with eSUN PA-CF carbon-fiber-reinforced nylon, while selected areas requiring flexibility and cushioning were printed with a one-component elastic resin. [1] [2]\n\nThis technical application note examines how these two material routes can address different functional requirements in humanoid robot component development. The discussion focuses on material characteristics, additive manufacturing process considerations, lattice-based design concepts, and the potential role of polymer 3D printing in rapid prototyping and low-volume functional manufacturing.\n\nThis report documents an application example and material-selection approach. It is not an independent robot-level performance validation and does not claim measured improvements in total robot energy consumption, motion speed, actuator life, payload, or system reliability."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22827682","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T09:29:02Z","registered":"2026-09-18T09:29:03Z","published":null,"updated":"2026-09-18T09:29:03Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.17605/osf.io/6hc4n","type":"dois","attributes":{"doi":"10.17605/osf.io/6hc4n","identifiers":[{"identifier":"https://osf.io/6hc4n","identifierType":"URL"}],"creators":[{"nameType":"Personal","name":"Jeremiah damilola Adebiyi","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0009-0005-1398-1439"},{"nameIdentifierScheme":"URL","nameIdentifier":"https://osf.io/yb52v"}],"affiliation":[]}],"titles":[{"title":"Learner Modelling for Misconception-Aware Adaptive Feedback in AI Tutors for Introductory Programming: A Systematic Review Protocol"}],"publisher":"OSF Registries","container":{},"publicationYear":2026,"subjects":[{"subject":"Physical Sciences and Mathematics","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Education","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Computer Sciences","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Software Engineering","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Artificial Intelligence and Robotics","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"adaptive feedback"},{"subject":"artificial intelligence in education"},{"subject":"intelligent tutoring systems"},{"subject":"introductory programming"},{"subject":"knowledge tracing"},{"subject":"large language models"},{"subject":"learner modelling"},{"subject":"metacognitive scaffolding"},{"subject":"programming education"},{"subject":"programming misconceptions"},{"subject":"systematic literature review"}],"contributors":[{"nameType":"Organizational","name":"Center for Open Science","nameIdentifiers":[{"nameIdentifierScheme":"URL","nameIdentifier":"https://cos.io/"},{"nameIdentifierScheme":"ROR","schemeUri":"https://ror.org","nameIdentifier":"https://ror.org/05d5mza29"}],"contributorType":"HostingInstitution","affiliation":[]}],"dates":[{"date":"2026-08-04","dateType":"Created"},{"date":"2026-09-18","dateType":"Updated"}],"language":null,"types":{"schemaOrg":"CreativeWork","resourceTypeGeneral":"StudyRegistration","citeproc":"article","bibtex":"misc","ris":"GEN","resourceType":"Pre-registration"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"https://osf.io/kxmhg","relatedIdentifierType":"URL"}],"relatedItems":[{"relationType":"IsVersionOf","relatedItemIdentifier":{"relatedItemIdentifier":"https://osf.io/kxmhg","relatedItemIdentifierType":"URL"},"relatedItemType":"Text","creators":[],"publisher":"OSF","publicationYear":"2026","titles":[{"title":"Protocol_Registration_Snapshot_2026-08-03"}],"contributors":[]}],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"This registration documents the protocol for a systematic literature review examining how artificial intelligence-supported systems for introductory programming use learner-specific evidence to represent learner state, infer programming errors, misconceptions, mastery states, or support needs, and translate those inferences into adaptive learner-facing interventions.\n\nThe review will cover English-language peer-reviewed journal articles, conference papers, and proceedings chapters published from 2018 to the final search date in 2026. Searches will be conducted in Scopus, Web of Science Core Collection, the ACM Guide to Computing Literature, and IEEE Xplore, supplemented by backward and forward citation searching.\n\nEligible studies must involve novice or introductory-programming learners and must implement, rather than merely propose, learner-facing feedback, hints, Socratic questions, metacognitive scaffolding, task recommendations, difficulty adjustments, sequencing, or another intervention that changes in response to learner-specific evidence or inferred state.\n\nScreening, extraction, and appraisal will be conducted by one human reviewer using time-separated duplicate passes, structured decision rules, repeat verification, random rechecking, and an auditable OSF workflow.\n\nThe synthesis will examine the complete mechanism chain from learner evidence to learner-state representation, diagnostic or mastery inference, tutor-policy decision, adaptive intervention, learner response, and model update. Expected outputs include taxonomies of learner evidence, learner models, misconception-diagnosis methods, adaptive interventions, evaluation approaches, and gaps relating to effectiveness, safety, equity, and reproducibility."}],"geoLocations":[],"fundingReferences":[],"url":"https://osf.io/6hc4n/","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-08-04T08:27:39Z","registered":"2026-08-04T08:27:40Z","published":null,"updated":"2026-09-18T09:28:55Z"},"relationships":{"client":{"data":{"id":"cos.osf","type":"clients"}}}},{"id":"10.5281/zenodo.22822983","type":"dois","attributes":{"doi":"10.5281/zenodo.22822983","identifiers":[],"creators":[{"nameType":"Personal","givenName":"Jinru","familyName":"Lyu","name":"Lyu, Jinru","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"Four-Stage Tomato Ripeness Crop Dataset for PTRDMS"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"tomato ripeness"},{"subject":"crop image"},{"subject":"computer vision"},{"subject":"agricultural robotics"},{"subject":"panoramic vision"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22827683","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22822984","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"This frozen v1.0 dataset contains 815 manually reviewed tomato crop images across four visual ripeness stages, annotations, five fixed source-group-disjoint splits, and a list of 46 excluded unclassifiable records. Raw panoramas, facility maps, raw acquisition data, derived demonstrations, and model weights are not included."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22822983","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":0,"created":"2026-09-18T04:04:04Z","registered":"2026-09-18T04:04:04Z","published":null,"updated":"2026-09-18T09:25:42Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22827683","type":"dois","attributes":{"doi":"10.5281/zenodo.22827683","identifiers":[{"identifier":"oai:zenodo.org:22827683","identifierType":"oai"}],"creators":[{"nameType":"Personal","givenName":"Jinru","familyName":"Lyu","name":"Lyu, Jinru","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"Four-Stage Tomato Ripeness Crop Dataset for PTRDMS"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"tomato ripeness"},{"subject":"crop image"},{"subject":"computer vision"},{"subject":"agricultural robotics"},{"subject":"panoramic vision"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":null,"types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22822983","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"This frozen v1.0 dataset contains 815 manually reviewed tomato crop images across four visual ripeness stages, annotations, five fixed source-group-disjoint splits, and a list of 46 excluded unclassifiable records. Raw panoramas, facility maps, raw acquisition data, derived demonstrations, and model weights are not included."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22827683","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T09:25:40Z","registered":"2026-09-18T09:25:41Z","published":null,"updated":"2026-09-18T09:25:41Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.17605/osf.io/wpfh5","type":"dois","attributes":{"doi":"10.17605/osf.io/wpfh5","identifiers":[{"identifier":"https://osf.io/wpfh5","identifierType":"URL"}],"creators":[{"nameType":"Personal","name":"Hanlin 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Inter-reviewer reliability: 100% post-reconciliation agreement; raw agreement 88.9%; initial Fleiss' κ = 0.376 (Fair), attenuated by the well-documented Kappa Paradox under skewed marginal distributions.","lang":"eng"}],"geoLocations":[],"fundingReferences":[],"url":"https://osf.io/wpfh5/","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-05-20T13:49:09Z","registered":"2026-05-20T13:49:10Z","published":null,"updated":"2026-09-18T09:05:27Z"},"relationships":{"client":{"data":{"id":"cos.osf","type":"clients"}}}},{"id":"10.5281/zenodo.22827321","type":"dois","attributes":{"doi":"10.5281/zenodo.22827321","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["Leiden University"],"givenName":"Eduard","familyName":"Fosch-Villaronga","name":"Fosch-Villaronga, Eduard","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0002-8325-5871"}]}],"titles":[{"title":"Operationalising  Science for Robot Policy: An interdisciplinary co-design method for translating regulatory gaps into experimental blueprints"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"experimental design"},{"subject":"service robots"},{"subject":"science for policy"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"},{"date":"2016-09-08","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":"Presentation"},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22827322","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Presentation on 8 September 2026 by Eduard Fosch‑Villaronga at Data for Policy 2026, Universitat Pompeu Fabra, Barcelona, Spain, of the working paper with reference \"Gros, C., Fosch-Villaronga, E., Shaffique, M. 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Human-in-the-loop reinforcement learning addresses this by enabling agents to learn from human feedback. Existing approaches rely primarily on evaluative signals, simple preferences, or demonstrations, which fail to capture the rich explanatory information humans naturally can provide when teaching. This dissertation extends human-in-the-loop learning by incorporating three distinct types of explanatory feedback, enabling trainers to convey more of \\emph{why} certain actions or trajectories are preferable. We present three frameworks that integrate explanatory feedback into established learning paradigms. First, we extend the TAMER framework with counterfactual explanations that allow humans to specify alternative actions or states that would have produced other outcomes. Second, we introduce TEMPO, which augments preference-based reinforcement learning with timestep-level explanations, enabling humans to annotate which specific timesteps in the trajectory segments influenced their preferences. Third, we present ConceptACT, an extension of ACT for imitation learning that leverages episode-level concept annotations, letting humans annotate episodes with (semantic) concepts about the current scene integrated into the learning process through modified transformer attention mechanisms. All three contributions show improvements in learning efficiency relative to their respective baselines across different experimental conditions. In addition, we measure the difference in human annotation cost and justify our choices in algorithms and architecture through the evaluation of variations. These contributions establish explanatory feedback as a powerful paradigm for human-in-the-loop reinforcement learning, reducing the difference between natural human teaching methods and reinforcement learning systems. By enabling humans to share not just their feedback but part of their underlying reasoning or knowledge through explanations, we demonstrate a first step towards more efficient and flexible agent training that leverages the full spectrum of human teaching experience.","lang":""}],"geoLocations":[],"fundingReferences":[],"url":"https://oparu.uni-ulm.de//handle/123456789/61176","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-17T16:01:00Z","registered":"2026-09-17T16:01:21Z","published":null,"updated":"2026-09-18T07:01:01Z"},"relationships":{"client":{"data":{"id":"tib.oparu","type":"clients"}}}},{"id":"10.5281/zenodo.22825159","type":"dois","attributes":{"doi":"10.5281/zenodo.22825159","identifiers":[],"creators":[{"nameType":"Personal","affiliation":["ExecutionGovernance.org"],"givenName":"Ho Wa","familyName":"KU","name":"KU, Ho Wa","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0009-0004-1245-8083"}]}],"titles":[{"title":"Execution Governance EG1–EG6 Practical Handbook"},{"titleType":"Subtitle","lang":"eng","title":"Cumulative Architecture, Scoped Application: When Each Governed Surface Becomes Material in Real-World Systems"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"Execution Governance; EG1–EG6; Governed Effects; Effect Authority; Pre-Effect Authorization; Authorization-Bound Execution; Commitment Integrity; Fabric Integrity; Governed Effect Fabric; Regime Integrity; Governed Effect Regime; Grounding Integrity; Governed Effect Grounding; Scoped Application; Runtime Governance; Agentic AI; AI Agents; Physical AI; Humanoid Robotics; Autonomous Systems; Agentic Commerce; Digital Payments; Programmable Money; Stablecoins; Cyber-Physical Systems; Industrial Automation; Low-Altitude Economy; LAE; AI Governance; Verifiable Governance; Execution Authority"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Report","resourceTypeGeneral":"Report","citeproc":"report","bibtex":"misc","ris":"RRPT","resourceType":""},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22825160","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1.0.6","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"© 2026 Ho Wa KU"}],"descriptions":[{"descriptionType":"Abstract","description":"Execution Governance EG1–EG6 Practical Handbook is a practitioner-oriented companion to the integrated Execution Governance (EG) research architecture. It addresses a practical question that the architectural papers alone do not fully answer: which EG governed surfaces should be made explicit in a real system, and when?\n\nThe handbook introduces the principle of Cumulative Architecture, Scoped Application. EG1–EG6 form one cumulative research architecture, but they are not six sequential approval gates, six mandatory runtime services, or a maturity ladder. Operational scope should be determined by the governed effect and the material failure surfaces present in a deployment.\n\nThe handbook organizes application around a baseline effect spine and additional governed surfaces:\n\n\n\nEG1 — Effect Authority: whether a proposed effect has current authority under the Six Conditions.\n\nEG2.x — Pre-Effect Authorization Boundary: whether the authority decision occurs before the effect becomes irreversible or committed.\n\nEG3 — Commitment Integrity: whether current authority remains bound to the exact effect through commitment.\n\nEG4 — Fabric Integrity: whether authority survives material translation, delegation, revocation, runtime change, routing, and multiple commit surfaces without expansion or bypass.\n\nEG5 — Regime Integrity (candidate research architecture): whether material changes to the governance state that shapes future authority are themselves validly authorized.\n\nEG6 — Grounding Integrity (candidate research architecture): whether effect-dispositive claims remain explicitly and reconstructably bound to the relevant referents, properties, sources or procedures, semantics, temporal conditions, uncertainty, and declared evidence dependencies.\n\n\nA central selection rule is:\n\nUse the lowest named EG profile that makes every material governed surface explicit; escalate only when a lower profile can pass while a distinct, consequential higher-surface failure remains possible.\n\nThe handbook therefore distinguishes architectural dependency from runtime evaluation topology, introduces profile ceilings rather than assurance rankings, and includes negative applicability examples showing when higher EG surfaces should not be added.\n\nWorked examples cover contemporary domains including Agentic AI, MCP/A2A-based orchestration, humanoid robotics, Physical AI, agentic commerce, digital payments, programmable money and stablecoins, industrial cyber-physical systems, cybersecurity automation, healthcare workflows, NetZero/ESG automation, and the Low-Altitude Economy (LAE).\n\nPractical material includes applicability diagnostics, scoped-profile selection, minimum-evidence guidance, cross-layer failure examples, deployment worksheets, worked micro-cases, and a machine-readable illustrative status object.\n\nThe handbook also preserves explicit research boundaries. EG5 and EG6 remain candidate research architectures, and EG6 decisive separability remains an open research question. The publication does not claim that EG replaces access control, zero trust, safety engineering, payment protocols, provenance, attestation, agent interoperability protocols, legal authority, or domain-specific governance. Instead, it provides a structured method for asking whether current authority for a governed effect remains valid through every applicable commitment, execution-fabric, governance-state, and grounding boundary.\n\nCore principle: Ability is not authority.\n\nOperational principle: One cumulative architecture. One baseline effect spine. Multiple scoped governed surfaces. No maturity ladder. No automatic escalation."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22825159","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T06:57:04Z","registered":"2026-09-18T06:57:04Z","published":null,"updated":"2026-09-18T06:57:04Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.22825160","type":"dois","attributes":{"doi":"10.5281/zenodo.22825160","identifiers":[{"identifier":"oai:zenodo.org:22825160","identifierType":"oai"}],"creators":[{"nameType":"Personal","affiliation":["ExecutionGovernance.org"],"givenName":"Ho Wa","familyName":"KU","name":"KU, Ho Wa","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0009-0004-1245-8083"}]}],"titles":[{"title":"Execution Governance EG1–EG6 Practical Handbook"},{"titleType":"Subtitle","lang":"eng","title":"Cumulative Architecture, Scoped Application: When Each Governed Surface Becomes Material in Real-World Systems"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[{"subject":"Execution Governance; EG1–EG6; Governed Effects; Effect Authority; Pre-Effect Authorization; Authorization-Bound Execution; Commitment Integrity; Fabric Integrity; Governed Effect Fabric; Regime Integrity; Governed Effect Regime; Grounding Integrity; Governed Effect Grounding; Scoped Application; Runtime Governance; Agentic AI; AI Agents; Physical AI; Humanoid Robotics; Autonomous Systems; Agentic Commerce; Digital Payments; Programmable Money; Stablecoins; Cyber-Physical Systems; Industrial Automation; Low-Altitude Economy; LAE; AI Governance; Verifiable Governance; Execution Authority"}],"contributors":[],"dates":[{"date":"2026-09-18","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"Report","resourceTypeGeneral":"Report","citeproc":"report","bibtex":"misc","ris":"RRPT","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.22825159","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1.0.6","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"},{"rightsUri":"http://rightsstatements.org/vocab/InC/1.0/","rights":"© 2026 Ho Wa KU"}],"descriptions":[{"descriptionType":"Abstract","description":"Execution Governance EG1–EG6 Practical Handbook is a practitioner-oriented companion to the integrated Execution Governance (EG) research architecture. It addresses a practical question that the architectural papers alone do not fully answer: which EG governed surfaces should be made explicit in a real system, and when?\n\nThe handbook introduces the principle of Cumulative Architecture, Scoped Application. EG1–EG6 form one cumulative research architecture, but they are not six sequential approval gates, six mandatory runtime services, or a maturity ladder. Operational scope should be determined by the governed effect and the material failure surfaces present in a deployment.\n\nThe handbook organizes application around a baseline effect spine and additional governed surfaces:\n\n\n\nEG1 — Effect Authority: whether a proposed effect has current authority under the Six Conditions.\n\nEG2.x — Pre-Effect Authorization Boundary: whether the authority decision occurs before the effect becomes irreversible or committed.\n\nEG3 — Commitment Integrity: whether current authority remains bound to the exact effect through commitment.\n\nEG4 — Fabric Integrity: whether authority survives material translation, delegation, revocation, runtime change, routing, and multiple commit surfaces without expansion or bypass.\n\nEG5 — Regime Integrity (candidate research architecture): whether material changes to the governance state that shapes future authority are themselves validly authorized.\n\nEG6 — Grounding Integrity (candidate research architecture): whether effect-dispositive claims remain explicitly and reconstructably bound to the relevant referents, properties, sources or procedures, semantics, temporal conditions, uncertainty, and declared evidence dependencies.\n\n\nA central selection rule is:\n\nUse the lowest named EG profile that makes every material governed surface explicit; escalate only when a lower profile can pass while a distinct, consequential higher-surface failure remains possible.\n\nThe handbook therefore distinguishes architectural dependency from runtime evaluation topology, introduces profile ceilings rather than assurance rankings, and includes negative applicability examples showing when higher EG surfaces should not be added.\n\nWorked examples cover contemporary domains including Agentic AI, MCP/A2A-based orchestration, humanoid robotics, Physical AI, agentic commerce, digital payments, programmable money and stablecoins, industrial cyber-physical systems, cybersecurity automation, healthcare workflows, NetZero/ESG automation, and the Low-Altitude Economy (LAE).\n\nPractical material includes applicability diagnostics, scoped-profile selection, minimum-evidence guidance, cross-layer failure examples, deployment worksheets, worked micro-cases, and a machine-readable illustrative status object.\n\nThe handbook also preserves explicit research boundaries. EG5 and EG6 remain candidate research architectures, and EG6 decisive separability remains an open research question. The publication does not claim that EG replaces access control, zero trust, safety engineering, payment protocols, provenance, attestation, agent interoperability protocols, legal authority, or domain-specific governance. Instead, it provides a structured method for asking whether current authority for a governed effect remains valid through every applicable commitment, execution-fabric, governance-state, and grounding boundary.\n\nCore principle: Ability is not authority.\n\nOperational principle: One cumulative architecture. One baseline effect spine. Multiple scoped governed surfaces. No maturity ladder. No automatic escalation."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.22825160","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-09-18T06:57:03Z","registered":"2026-09-18T06:57:04Z","published":null,"updated":"2026-09-18T06:57:04Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.15480/882.1963","type":"dois","attributes":{"doi":"10.15480/882.1963","identifiers":[{"identifier":"Procedia Manufacturing 14: 17-29 (2017)","identifierType":"citation"},{"identifier":"urn:nbn:de:gbv:830-882.025519","identifierType":"URN"},{"identifier":"11420/1966","identifierType":"hdl"}],"creators":[{"nameType":"Personal","givenName":"Christian","familyName":"Möller","name":"Möller, Christian","nameIdentifiers":[{"nameIdentifierScheme":"GND","schemeUri":"https://d-nb.info/gnd/","nameIdentifier":"1208661981"}],"affiliation":[]},{"nameType":"Personal","givenName":"Hans Christian","familyName":"Schmidt","name":"Schmidt, Hans Christian","affiliation":[],"nameIdentifiers":[]},{"nameType":"Personal","givenName":"Philip","familyName":"Koch","name":"Koch, Philip","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0075-7196"}],"affiliation":[]},{"nameType":"Personal","givenName":"Christian","familyName":"Böhlmann","name":"Böhlmann, Christian","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-5697-7852"},{"nameIdentifierScheme":"GND","schemeUri":"https://d-nb.info/gnd/","nameIdentifier":"1188904728"}],"affiliation":[]},{"nameType":"Personal","givenName":"Simon M.","familyName":"Kothe","name":"Kothe, Simon M.","nameIdentifiers":[{"nameIdentifierScheme":"GND","schemeUri":"https://d-nb.info/gnd/","nameIdentifier":"1160393451"}],"affiliation":[]},{"nameType":"Personal","givenName":"Jörg","familyName":"Wollnack","name":"Wollnack, Jörg","nameIdentifiers":[{"nameIdentifierScheme":"GND","schemeUri":"https://d-nb.info/gnd/","nameIdentifier":"131586289"}],"affiliation":[]},{"nameType":"Personal","givenName":"Wolfgang","familyName":"Hintze","name":"Hintze, Wolfgang","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-9025-8803"},{"nameIdentifierScheme":"GND","schemeUri":"https://d-nb.info/gnd/","nameIdentifier":"1133109063"}],"affiliation":[]}],"titles":[{"title":"Machining of large scaled CFRP-parts with mobile CNC-based robotic system in aerospace industry"}],"publisher":"Elsevier","container":{"identifier":"2351-9789","firstPage":"17","lastPage":"29","identifierType":"ISSN","type":"Series","title":"Procedia manufacturing"},"publicationYear":2017,"subjects":[{"subject":"robotics"},{"subject":"automation"},{"subject":"CNC machining"},{"subject":"secondary encoders"},{"subject":"robot calibration"},{"classificationCode":"600","subject":"Technik","subjectScheme":"DDC"},{"classificationCode":"620","subject":"Ingenieurwissenschaften","subjectScheme":"DDC"}],"contributors":[{"name":"TUHH Universitätsbibliothek","contributorType":"DataManager","affiliation":[],"nameIdentifiers":[]},{"name":"TUHH Universitätsbibliothek","contributorType":"HostingInstitution","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2019-01-18","dateType":"Accepted"},{"date":"2019-01-18","dateType":"Available"},{"date":"2017-12-05","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":"Journal Article"},"relatedIdentifiers":[{"relationType":"IsVariantFormOf","relatedIdentifier":"10.1016/j.promfg.2017.11.003","relatedIdentifierType":"DOI"}],"relatedItems":[{"relationType":"IsPublishedIn","relatedItemIdentifier":{"relatedItemIdentifier":"2351-9789","relatedItemIdentifierType":"ISSN"},"lastPage":"29","firstPage":"17","relatedItemType":"Journal","creators":[],"publisher":"Elsevier","publicationYear":"2017","titles":[{"title":"Procedia manufacturing"}],"contributors":[]}],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution Non Commercial No Derivatives 4.0 International","rightsIdentifier":"cc-by-nc-nd-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Industrial robots have already demonstrated their advantages in smart and efficient production in a wide field of applications and industries. However, their use for machining of structural aircraft components is still impeded by the disadvantage of low absolute accuracy, sensitivity to process loads and limited workspace compared to large machining centers. A mobile robotic system is presented as a new approach for machining applications of large aircraft components. The system presented in this paper consists of a CNC-based serial robot kinematic with additional secondary encoder systems on every axis. The entire system is based on a Siemens CNC control, which evolves the robot to a full-featured machine tool. This setup enables additional possibilities for the implementation of extended control strategies and advanced calibration routines. Thus, high demands and challenging tolerances in aircraft manufacturing will be fulfilled, so that process times and investment cost can be reduced significantly."}],"geoLocations":[],"fundingReferences":[],"url":"https://tubdok.tub.tuhh.de/handle/11420/1966","contentUrl":null,"metadataVersion":8,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2019-01-18T10:00:12Z","registered":"2019-01-18T10:00:33Z","published":null,"updated":"2026-09-18T06:23:13Z"},"relationships":{"client":{"data":{"id":"tib.tuhh","type":"clients"}}}}],"meta":{"total":104218,"totalPages":400,"page":1},"links":{"self":"https://api.datacite.org/dois?query=subjects.subject%3Arobot%2A","next":"https://api.datacite.org/dois?page%5Bnumber%5D=2\u0026page%5Bsize%5D=25\u0026query=subjects.subject%3Arobot%2A"}}