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DTSTART:20220313T030000
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DTSTAMP:20220128T145849Z
UID:33406DB0-9B27-4DB6-896B-DBCCD8DB9AD6
DTSTART;TZID=America/New_York:20211208T090000
DTEND;TZID=America/New_York:20211208T100000
DESCRIPTION:Abstract: Humans and robots are increasingly sharing common wor
 kspaces and tasks. In such a scenario\, robots need to safely interact\, c
 ollaborate and learn with humans. The human-robot interactive process may 
 rely on cognitive interfaces (using gestures\, human behaviour\, anticipat
 ion) and physical interfaces featuring physical contact with the robot. Re
 inforcement learning and sim-to-real represent a step towards building aut
 onomous robot learning with a higher-level understanding of the world. All
  the above interfaces require safe robots\, robots that can avoid collisio
 ns with moving humans/objects in unstructured environments. The research c
 hallenges for the future will be discussed\, as well as the issues related
  to the implementation of collaborative robotic systems in industry. Labor
 atory and industry use cases will be presented.\n\nSpeaker(s): Vince Socci
 \, \n\nEndicott\, New York\, United States\, Virtual: https://events.vtool
 s.ieee.org/m/293695
LOCATION:Endicott\, New York\, United States\, Virtual: https://events.vtoo
 ls.ieee.org/m/293695
ORGANIZER:socci@ieee.org
SEQUENCE:1
SUMMARY: Towards Intuitive to Use and Safe Robots
URL;VALUE=URI:https://events.vtools.ieee.org/m/293695
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong>&nbsp\;Humans an
 d robots are increasingly sharing common workspaces and tasks. In such a s
 cenario\, robots need to safely interact\, collaborate and learn with huma
 ns. The human-robot interactive process may rely on cognitive interfaces (
 using gestures\, human behaviour\, anticipation) and physical interfaces f
 eaturing physical contact with the robot. Reinforcement learning and sim-t
 o-real represent a step towards building autonomous robot learning with a 
 higher-level understanding of the world. All the above interfaces require 
 safe robots\, robots that can avoid collisions with moving humans/objects 
 in unstructured environments. The research challenges for the future will 
 be discussed\, as well as the issues related to the implementation of coll
 aborative robotic systems in industry. Laboratory and industry use cases w
 ill be presented.</p>
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