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UID:6055@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20220506T143000
DTEND;TZID=Europe/Paris:20220506T153000
DTSTAMP:20241120T200903Z
URL:https://www.i2m.univ-amu.fr/evenements/coming-of-age-of-robot-learning
 /
SUMMARY:Pulkit AGRAWAL (MIT-IBM Watson AI Lab): Coming of Age of Robot Lear
 ning
DESCRIPTION:Pulkit AGRAWAL: The questions of dexterity\, agility\, and lear
 ning from a few demonstrations have intrigued robotics researchers. In thi
 s talk\, I will explore answers and solutions to these questions via the f
 ollowing case studies:\n(i) a dexterous manipulation system capable of re-
 orienting novel objects.\n(ii) a quadruped robot that is substantially mor
 e agile than its counterparts (runs\, spins) on challenging natural terrai
 ns.\n(iii) framework for learning task-sensitive perceptual representation
 s for planning and out-of-distribution generalization.\n(time permitting) 
 While a lot of recent progress in robotics is driven by perception\, we sh
 ow that learned controllers can help address problems that were previously
  thought to be hard. I will discuss our findings\, the insights we gained\
 , and the road ahead.\n\nBio: Pulkit is the Steven and Renee Finn Chair As
 sistant Professor in the Department of Electrical Engineering and Computer
  Science at MIT\, where he directs the Improbable AI Lab. His research int
 erests span robotics\, deep learning\, computer vision\, and reinforcement
  learning. His work has received the Best Paper Award at Conference on Rob
 ot Learning 2021 and Best Student Paper Award at Conference on Computer Su
 pported Collaborative Learning 2011. He is a recipient of the Sony Faculty
  Research Award\, Salesforce Research Award\, Amazon Research Award\, a Fu
 lbright fellowship\, etc. He received his Ph.D. from UC Berkeley\, Bachelo
 rs's degree from IIT Kanpur\, where he was awarded the Directors Gold Meda
 l and co-founded SafelyYou Inc. \n&nbsp\;
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 022/04/Pulkit_Agrawal.jpg
CATEGORIES:Séminaire,Signal et Apprentissage
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