BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE ICRA 2027 - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IEEE ICRA 2027
X-ORIGINAL-URL:https://2027.ieee-icra.org
X-WR-CALDESC:Events for IEEE ICRA 2027
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145707Z
UID:10000133-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Enhancing Human Mobility: From Computer Vision-Based Motion Tracking to Wearable Assistive Robot Control
DESCRIPTION:Meeting Room: 316 \nAs wearable robotic devices for human movement assistance and rehabilitation transition into real-world applications\, their ability to autonomously and seamlessly adapt to varying environmental conditions and user needs is crucial. Lower-limb exoskeletons and prostheses\, for example\, must dynamically adjust their assistance profiles to accommodate different motor activities\, such as level-ground walking or stair climbing. Achieving this requires not only recognizing user intentions but also gathering comprehensive information about the surroundings. \nComputer vision offers rich\, direct\, and interpretable data that surpasses non-visual sensors like encoders and inertial measurement units\, making it a promising tool for enhancing context awareness in wearable robots. However\, integrating computer vision into wearable robotic control presents several challenges\, including: \n\nEnsuring the real-time feasibility of vision model outputs\nMaintaining model robustness across diverse mobility contexts and dynamic user movements\nEffectively fusing onboard sensor data with visual information\n\nThis workshop aims to address these challenges by exploring the latest engineering solutions for computer vision-based human motion tracking and control strategies for wearable robotic systems designed to augment human locomotion. By bridging the gap between wearable robotics and computer vision researchers\, as well as fostering collaboration between academia and industry\, we seek to provide a roadmap for developing robust\, adaptable\, and context-aware vision-based control frameworks that can be successfully translated from the lab to real-world applications.
URL:https://2027.ieee-icra.org/event/enhancing-human-mobility-from-computer-vision-based-motion-tracking-to-wearable-assistive-robot-control/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145724Z
UID:10000132-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:5th Workshop: Reflections on Representations and Manipulating Deformable Objects
DESCRIPTION:Meeting Room: 404 \nOver the past five years\, significant progress has been made in deformable object (DO) manipulation\, spanning breakthroughs in representation\, simulation\, and control\, as well as the integration of machine learning and large models for improved perception. Despite these advancements\, key challenges persist\, particularly in developing a unified framework for DO representation across different domains. \nThe “5th Workshop: Reflections on Representations and Manipulating Deformable Objects” aims to critically review recent developments and identify future research priorities. Key topics will include state representation\, non-linear dynamic modeling\, and the application of advanced models like vision-language models (VLMs). \nThe workshop will highlight progress in learning-based methods\, such as reinforcement and imitation learning\, which have enhanced robotic dexterity in handling deformable materials. Additionally\, it will explore the role of low-cost hardware and open datasets in accelerating research and making advancements more accessible. \nBy bringing together researchers and industry experts\, this workshop seeks to shape the future of DO manipulation\, fostering collaboration and innovation in this rapidly evolving field.
URL:https://2027.ieee-icra.org/event/5th-workshop-reflections-on-representations-and-manipulating-deformable-objects/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145741Z
UID:10000131-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:The Future of Intelligent Manufacturing: From innovation to implementation
DESCRIPTION:Meeting Room: International Ballroom D (Omni Hotel) \nThis workshop will focus on bridging the gap between state-of-the-art innovation and industrial implementation for flexible manufacturing technologies. By bringing together a global community of manufacturing technologists from academia and industry\, we aim to foster open discussions on shopfloor challenges\, bottlenecks\, and strategies to align future innovations with real-world implementation. \nThe workshop will center around four critical areas: \n\nConnected Reconfigurable Manufacturing\nIndustrial Robotics and Automation\nHuman-Machine Interaction\nAI-Enabled Manufacturing Capability\n\nEach topic will begin with a keynote address from a leading expert\, providing an overview of the latest research trends. Following the keynote\, a panel of academic and industry leaders will discuss the practical challenges and opportunities associated with implementing these technologies in real-world settings. \nThe workshop will also feature Impact Clinics\, where students and early-career researchers can present their innovations. Senior academics and industry professionals will offer feedback on how these ideas can be refined for greater industrial impact. \nThe event will conclude with a round-table discussion\, summarizing key insights and identifying the challenges and opportunities in building the intelligent factories of the future. This workshop offers a unique platform for fostering collaboration between researchers and industry\, encouraging innovation that drives tangible progress in manufacturing.
URL:https://2027.ieee-icra.org/event/the-future-of-intelligent-manufacturing-from-innovation-to-implementation/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145757Z
UID:10000130-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Beyond the Lab: Robust Planning and Control in Real World Scenarios
DESCRIPTION:Meeting Room: Sidney Marcus Auditorium \nThe integration of robots into our daily lives depends on their ability to operate reliably and safely in complex\, dynamic environments. Despite significant progress\, achieving robust performance under uncertainty remains a major challenge. Real-time robust planning is computationally demanding\, particularly for tasks such as whole-body control of multi-body robots or handling hybrid dynamics in contact-based interactions. \nAn essential component of this challenge is accurately considering the effects of uncertainties on future plans. However\, despite considerable advancements\, efficient uncertainty representation and propagation remain immature for fast\, real-time control of complex robots in general real-world tasks. \nThis workshop aims to address these challenges by bringing together top researchers and practitioners to explore the state of the art in integrated robust planning and control in the presence of uncertainties. We will focus on planning strategies that ensure system functionality despite disturbances and uncertainties\, aligning with the growing trend toward optimization-based predictive control. \nThe workshop will cover a range of methodologies that balance formality and practicality while addressing uncertainties in tasks involving motion\, manipulation\, and interaction. Our goal is to showcase the best our community has to offer in enhancing the practical applicability of robots in uncertain real-world scenarios.
URL:https://2027.ieee-icra.org/event/beyond-the-lab-robust-planning-and-control-in-real-world-scenarios/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250515T144826Z
UID:10000129-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Soft Robotics for Space Applications
DESCRIPTION:Meeting Room: International Ballroom A (Omni Hotel) \nRecent advancements in soft robotic systems have led to innovative solutions across various space applications. These include enhancements in surface and aerial exploration\, advanced maintenance and inspection techniques to extend the longevity of space infrastructure\, and the development of materials and systems capable of withstanding extreme space conditions. \nActive research in this field includes inflatable structures for deployable habitats\, efficient sample collection methods\, flame-retardant skins for safety in volatile environments\, and novel approaches to space debris mitigation. Despite significant progress\, the community has yet to convene to collectively discuss and identify the most impactful areas for soft robotics in space applications and foster potential collaborations. \nThis workshop is structured around two main objectives. First\, it aims to create a platform for experts to exchange insights\, present current challenges\, and explore future research directions and funding opportunities. Second\, it will host a panel discussion featuring specialists from both space and soft robotics fields to examine challenges in space missions and explore how soft robotics can provide innovative solutions. \nBy fostering these discussions\, the workshop seeks to spark new collaborations and drive advancements in integrating soft robotics into space exploration.
URL:https://2027.ieee-icra.org/event/soft-robotics-for-space-applications/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250213T190937Z
LAST-MODIFIED:20250425T145831Z
UID:10000128-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Human-Centric Robotics for Telepresence
DESCRIPTION:Meeting Room: 405 \nThe workshop “Human-Centric Robotics for Telepresence” aims to explore the impact of telepresence robotics with a focus on enriching user experience and promoting societal well-being. This interdisciplinary event will emphasize the critical role of human factors in shaping robotic applications across industries\, healthcare\, and beyond. \nParticipants will discuss how both technological and ergonomic insights can enhance the operational effectiveness\, user experience\, and acceptance of telepresence technologies\, while also considering their ethical and societal implications. By bringing together experts from diverse fields such as engineering and ergonomics\, the workshop will highlight successful implementations and lessons learned across various sectors\, providing practical insights into overcoming challenges and maximizing benefits. \nThe outcomes of this workshop will directly contribute to key initiatives\, including the IEEE-RAS TC on Telerobotics\, the IEA TC on Human Factors in Robotics\, and the IEEE-Telepresence Roadmap\, which is currently in development. This synergy will foster collaboration and drive progress beyond the mentioned communities. \nFollowing the presentations by invited experts\, the workshop will feature interactive discussions. A SWOT (Strengths\, Weaknesses\, Opportunities\, Threats) analysis will be conducted\, followed by a focused roadmap discussion involving the audience\, with special consideration for the perspectives of postdoctoral and doctoral fellows.
URL:https://2027.ieee-icra.org/event/human-centric-robotics-for-telepresence/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250220T185506Z
LAST-MODIFIED:20250425T145846Z
UID:10000169-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Advances in Social Robot Navigation: Planning\, HRI\, and Beyond
DESCRIPTION:Meeting Room: 313 \nRobots navigating through uncontrolled human spaces face many challenges due to the uncertainty of human behavior and the unstructured nature of environmental context and social rules. Social robot navigation combines planning with human-robot interaction and communication strategies to provide acceptable\, context-dependent robot behavior. With recent rapid transformations in AI\, social robot navigation is changing\, and the Advances in Social Robot Navigation workshop explores these innovations in areas including planning\, human-robot interaction\, and beyond. \nThis full-day workshop brings together experts in these fields for invited talks\, panel discussions\, and participant presentations on advances in social robot navigation. The workshop will also host the Arena 4.0 challenge on benchmarking social robot navigation strategies through a set of AI-enabled open-source tools. Building on our successful series of workshops at ICRA’22\, IROS’23\, and RSS’24\, this workshop aims to investigate key aspects that make robot navigation more acceptable\, legible\, and social. This includes motion-task planning techniques\, foundation models\, human robot interaction\, communication strategies\, and human understanding ranging from individual behavior to pedestrian and crowd dynamics. We invite researchers from these fields to submit short papers and participate in our benchmark challenge\, and to join us for a workshop designed to encourage discussion.
URL:https://2027.ieee-icra.org/event/advances-in-social-robot-navigation-planning-hri-and-beyond-2/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260415T043746
CREATED:20250227T180059Z
LAST-MODIFIED:20250516T150422Z
UID:10000177-1747989000-1748021400@2027.ieee-icra.org
SUMMARY:Workshops/Tutorials
DESCRIPTION:For a detailed list of workshops and tutorials taking place at ICRA 2025\, please visit this page: https://2027.2025.ieee-icra.org/workshops-and-tutorials/
URL:https://2027.ieee-icra.org/event/workshops-tutorials-2/
CATEGORIES:Daily Schedule,Homepage Feed
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260601
DTEND;VALUE=DATE:20260607
DTSTAMP:20260415T043746
CREATED:20250606T155021Z
LAST-MODIFIED:20250606T173756Z
UID:10000221-1780272000-1780790399@2027.ieee-icra.org
SUMMARY:ICRA 2026 - Vienna\, Austria
DESCRIPTION:
URL:https://2027.ieee-icra.org/event/icra-2026-vienna-austria/
CATEGORIES:Homepage Feed
END:VEVENT
END:VCALENDAR