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:20250523T083000
DTEND;TZID=America/New_York:20250523T173000
DTSTAMP:20260404T020726
CREATED:20250213T185301Z
LAST-MODIFIED:20250225T160026Z
UID:830-1747989000-1748021400@2026.ieee-icra.org
SUMMARY:Towards Agility and Robustness: Mechanical Intelligence in Robotics\, Biology\, and Smart Materials
DESCRIPTION:With robots being increasingly deployed in complex\, dynamic environments\, their ability to sense\, plan\, and act autonomously with intelligence is crucial for ensuring both agility and robustness. While computational intelligence (CI) has made significant improvements in the areas of perception\, decision-making\, and control\, mechanical intelligence (MI) remains an essential yet underutilized approach. MI leverages the design and mechanisms of a robot’s physical structure to enhance or simplify its perception\, control\, and autonomy\, enabling it to function more effectively in unstructured and unpredictable environments. \nMI is a principle commonly found in nature\, where biological systems excel at agility and robustness\, often outperforming current robotic capabilities. Studying organisms that navigate and manipulate within complex terrains can provide insights that could be applied to robotics. Additionally\, smart materials—engineered to respond dynamically to environmental stimuli—can improve MI by enabling robots to passively adapt to changing conditions. \nThis workshop will explore how MI can be integrated into robotics by drawing on biological insights and the use of smart materials. Invited speakers will discuss their expertise in how MI can drive advancements in robotic systems\, particularly in enhancing their agility and robustness for real-world applications.
URL:https://2026.ieee-icra.org/event/towards-agility-and-robustness-mechanical-intelligence-in-robotics-biology-and-smart-materials/
CATEGORIES:Sessions,Workshops & Tutorials
END:VEVENT
END:VCALENDAR