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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
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DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260612T172948Z
UID:ABAB646D-10DB-43B6-8470-8E7CF76EE3E3
DTSTART;TZID=Asia/Kolkata:20260605T190000
DTEND;TZID=Asia/Kolkata:20260605T200000
DESCRIPTION:Unmanned systems and robotics have evolved from specialized rem
 otely-controlled\nmachines into autonomous intelligent systems which finds
  many applications both in civilian\nand defence domains.\nThe intelligent
  applications and autonomy is mainly driven by breakthroughs in "physical 
 AI"\nand edge-computed AI\, which refers to the integration of advanced ar
 tificial intelligence\nalgorithms directly into physical bodies—such as 
 robots\, autonomous vehicles\, smart\nmachinery\, and drones—allowing th
 em to perceive\, reason\, and interact with the real world\nin real time.\
 nLooking ahead\, the future of this domain lies in the mastery of swarm in
 telligence\, where\ndecentralized networks of autonomous systems co-optimi
 ze their workflows via local\ninteraction protocols and resilient\, crypto
 graphically secure edge-consensus models that\nensure continuous execution
  even in fully communications-denied environments.\nThis talk will try to 
 cover various aspects including challenges and related technologies\ncover
 ing how we are moving from isolated\, rigid machines to collective\, self-
 organizing\ncollective behaviour.\n\nSpeaker(s): Prof. Madhav Kuber\, \, \
 n\nVirtual: https://events.vtools.ieee.org/m/561718
LOCATION:Virtual: https://events.vtools.ieee.org/m/561718
ORGANIZER:amiya87@gmail.com
SEQUENCE:13
SUMMARY:The Rise of the Intelligent Swarm: Shaping the Future of Autonomous
  Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/561718
X-ALT-DESC:Description: <br /><p>Unmanned systems and robotics have evolved
  from specialized remotely-controlled<br>machines into autonomous intellig
 ent systems which finds many applications both in civilian<br>and defence 
 domains.<br>The intelligent applications and autonomy is mainly driven by 
 breakthroughs in "physical AI"<br>and edge-computed AI\, which refers to t
 he integration of advanced artificial intelligence<br>algorithms directly 
 into physical bodies&mdash\;such as robots\, autonomous vehicles\, smart<b
 r>machinery\, and drones&mdash\;allowing them to perceive\, reason\, and i
 nteract with the real world<br>in real time.<br>Looking ahead\, the future
  of this domain lies in the mastery of swarm intelligence\, where<br>decen
 tralized networks of autonomous systems co-optimize their workflows via lo
 cal<br>interaction protocols and resilient\, cryptographically secure edge
 -consensus models that<br>ensure continuous execution even in fully commun
 ications-denied environments.<br>This talk will try to cover various aspec
 ts including challenges and related technologies<br>covering how we are mo
 ving from isolated\, rigid machines to collective\, self-organizing<br>col
 lective behaviour.</p>
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