BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE ICRA 2026 - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IEEE ICRA 2026
X-ORIGINAL-URL:https://2026.ieee-icra.org
X-WR-CALDESC:Events for IEEE ICRA 2026
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
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250519T083000
DTEND;TZID=America/New_York:20250519T173000
DTSTAMP:20260404T174359
CREATED:20250213T185603Z
LAST-MODIFIED:20250226T142601Z
UID:838-1747643400-1747675800@2026.ieee-icra.org
SUMMARY:Handy Moves: Dexterity in Multi-Fingered Hands
DESCRIPTION:Multi-fingered robotic hands hold an immense potential for flexible manipulation in human environments. From using tools like scissors to preparing food\, handling cloth\, and robustly tying shoelaces\, many mundane activities are enabled by – or become more flexible with – additional degrees of freedom\, allowing for in-hand manipulation and dexterous environment interaction. With the ongoing waves of advancement in artificial intelligence\, learning techniques\, robust teleoperation\, the proliferation of affordable tactile sensors\, and the expansion of diverse datasets\, we are closer than ever to overcome major existing challenges and unlock unprecedented levels of dexterity in robotic manipulation.However\, we also acknowledge the current state of research: In practical applications\, multi-fingered hands usually demonstrate a lower grasping and manipulation success rate compared to two-fingered parallel grippers; more robotic datasets and benchmarks focus on grippers than on multi-fingered hands; and grippers already serve a wide range of industrial applications. In light of these challenges\, this workshop is dedicated to exploring a critical question: how can we overcome the challenges of dexterous manipulation and unlock the potential of multi-fingered hands? \nThis workshop intends to answer this question in four key aspects: \n1. Investigating Manipulation Limitations: Understanding the constraints linked to mechanical design and control \n2. Examining Advanced Algorithms: Reviewing state-of-the-art algorithms for dexterous manipulation \n3. Enhancing Dexterity and Adaptability: Exploring new paradigms to improve the dexterity and adaptability of robotic hands \n4. Envisioning the Future: Considering how foundational models can revolutionize dexterous manipulation \nThe objective of this workshop is to foster collaboration among researchers at all career stages with a strong interest in robotics\, artificial intelligence\, control theory\, mechanical design\, and related fields.
URL:https://2026.ieee-icra.org/event/handy-moves-dexterity-in-multi-fingered-hands/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
END:VCALENDAR