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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20241026T080949Z
UID:ED6A3346-F54A-4329-8CD0-B0FCF2A58ACA
DTSTART;TZID=Asia/Kolkata:20241022T100000
DTEND;TZID=Asia/Kolkata:20241022T110000
DESCRIPTION:Self-navigation in crowded environments poses a significant cha
 llenge for multi-agent systems with non-holonomic robots relying on local 
 sensing. The talk covers a fast\, sensor-driven navigation controller that
  computes control commands for safe maneuvering among non-cooperating agen
 ts. Our approach introduces an input-constrained feedback controller speci
 fically designed for non-holonomic robots\, with a focus on invariant sets
  to ensure stability and safety. These invariant sets guide the robots tow
 ard their target while allowing for direct computation of safe control inp
 uts\, eliminating the need for pre-planned paths.\n\nSpeaker(s): Leena Vac
 hhani\, \n\nVirtual: https://events.vtools.ieee.org/m/441459
LOCATION:Virtual: https://events.vtools.ieee.org/m/441459
ORGANIZER:atreyee@ee.iitkgp.ac.in
SEQUENCE:4
SUMMARY:Simultaneous Planning\, Control and Safety for naturally inducing t
 rajectories to navigate in crowds
URL;VALUE=URI:https://events.vtools.ieee.org/m/441459
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Self-navigation in crowded environments po
 ses a significant challenge for multi-agent systems with non-holonomic rob
 ots relying on local sensing. The talk covers a fast\, sensor-driven navig
 ation controller that computes control commands for safe maneuvering among
  non-cooperating agents. Our approach introduces an input-constrained feed
 back controller specifically designed for non-holonomic robots\, with a fo
 cus on invariant sets to ensure stability and safety. These invariant sets
  guide the robots toward their target while allowing for direct computatio
 n of safe control inputs\, eliminating the need for pre-planned paths.&amp;nbs
 p\;&lt;/p&gt;
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