BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Venue Radar//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:CoRL 2026 Calendar BEGIN:VEVENT UID:corl-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260526T115900Z DTEND:20260526T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Mandatory abstra ct registration deadline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://openreview.net/group?id=robot-learni ng.org/CoRL/2026/Conference\nLocation: Austin\, Texas\, USA\nTopics: Mach ine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Represe ntation Learning\nSize: L\nSubmission type: Paper-based\nConfidence: conf irmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consistent with the author in structions' Thursday May 28 cutoff. Abstract registration is mandatory. S atellite workshop papers are not main-track opportunities. ICORE 2026 lis ts CoRL as Unranked\, not A/A*/B/C. Size L is an editorial estimate.\nSco pe: Machine learning for physical robots\, especially imitation and reinf orcement learning\, learned perception and control\, robot foundation mod els\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction\, and datasets grounde d in manipulation\, navigation\, or locomotion. General ML is relevant wh en it makes a substantive contribution to robot learning.\nAdditional top ics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Unc ertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, L earning Theory & Statistical Foundations\nScope sources (2026): https://w ww.corl.org/contributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://openreview.net/group?id=robot-learning.org/CoRL/2026/Conference END:VEVENT BEGIN:VEVENT UID:corl-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260529T115900Z DTEND:20260529T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Main conference paper submission deadline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://openreview.net/group?id=robot-learni ng.org/CoRL/2026/Conference\nLocation: Austin\, Texas\, USA\nTopics: Mach ine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Represe ntation Learning\nSize: L\nSubmission type: Paper-based\nConfidence: conf irmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consistent with the author in structions' Thursday May 28 cutoff. Abstract registration is mandatory. S atellite workshop papers are not main-track opportunities. ICORE 2026 lis ts CoRL as Unranked\, not A/A*/B/C. Size L is an editorial estimate.\nSco pe: Machine learning for physical robots\, especially imitation and reinf orcement learning\, learned perception and control\, robot foundation mod els\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction\, and datasets grounde d in manipulation\, navigation\, or locomotion. General ML is relevant wh en it makes a substantive contribution to robot learning.\nAdditional top ics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Unc ertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, L earning Theory & Statistical Foundations\nScope sources (2026): https://w ww.corl.org/contributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://openreview.net/group?id=robot-learning.org/CoRL/2026/Conference END:VEVENT BEGIN:VEVENT UID:corl-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261013T115900Z DTEND:20261013T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Camera-ready dea dline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://www.corl.org/contributions/instructi on-for-authors\nLocation: Austin\, Texas\, USA\nTopics: Machine Learning\ , Control & Robotics\, Reinforcement Learning\, Deep Representation Learn ing\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast c hecked date: 2026-10-07\nNotes: Tenth annual edition\; main conference No v 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspo nd to May 25/28 at 23:59 AoE\, consistent with the author instructions' T hursday May 28 cutoff. Abstract registration is mandatory. Satellite work shop papers are not main-track opportunities. ICORE 2026 lists CoRL as Un ranked\, not A/A*/B/C. Size L is an editorial estimate.\nScope: Machine l earning for physical robots\, especially imitation and reinforcement lear ning\, learned perception and control\, robot foundation models\, and lea rning-based task and motion planning. Includes uncertainty\, generalizati on\, safety\, human-robot interaction\, and datasets grounded in manipula tion\, navigation\, or locomotion. General ML is relevant when it makes a substantive contribution to robot learning.\nAdditional topics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Uncertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, Learning Theor y & Statistical Foundations\nScope sources (2026): https://www.corl.org/c ontributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://www.corl.org/contributions/instruction-for-authors END:VEVENT BEGIN:VEVENT UID:corl-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261109 DTEND;VALUE=DATE:20261113 SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Conference DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://www.corl.org/\nLocation: Austin\, Te xas\, USA\nTopics: Machine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Representation Learning\nSize: L\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenRevi ew's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consis tent with the author instructions' Thursday May 28 cutoff. Abstract regis tration is mandatory. Satellite workshop papers are not main-track opport unities. ICORE 2026 lists CoRL as Unranked\, not A/A*/B/C. Size L is an e ditorial estimate.\nScope: Machine learning for physical robots\, especia lly imitation and reinforcement learning\, learned perception and control \, robot foundation models\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction \, and datasets grounded in manipulation\, navigation\, or locomotion. Ge neral ML is relevant when it makes a substantive contribution to robot le arning.\nAdditional topics: Computer Vision & Pattern Recognition\, Proba bilistic\, Causal & Uncertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, Learning Theory & Statistical Foundations\nScope so urces (2026): https://www.corl.org/contributions/call-for-papers\nScope l ast checked: 2026-10-07 URL:https://www.corl.org/ LOCATION:Austin\, Texas\, USA END:VEVENT END:VCALENDAR