Pieter Abbeel
homepage:http://www.cs.berkeley.edu/~pabbeel/
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Description

Pieter Abbeel received a BS/MS in Electrical Engineering from KU Leuven (Belgium) and received his Ph.D. degree in Computer Science from Stanford University in 2008. He joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences. He has won various awards, including best paper awards at ICML and ICRA, the Sloan Fellowship, the Air Force Office of Scientific Research Young Investigator Program (AFOSR-YIP) award, the Okawa Foundation award, the 2011′s TR35, and the IEEE Robotics and Automation Society (RAS) Early Career Award. He has developed apprenticeship learning algorithms which have enabled advanced helicopter aerobatics, including maneuvers such as tic-tocs, chaos and auto-rotation, which only exceptional human pilots can perform. His group has also enabled the first end-to-end completion of reliably picking up a crumpled laundry article and folding it. His work has been featured in many popular press outlets, including BBC, New York Times, MIT Technology Review, Discovery Channel, SmartPlanet and Wired. His current research focuses on robotics and machine learning with a particular focus on challenges in personal robotics, surgical robotics and connectomics.


Lectures:

invited talk
flag Deep Reinforcement Learning
as author at  Deep Learning Summer School, Montreal 2016,
1218 views
  keynote
flag Machine Learning for Robotics
as author at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Bristol 2012,
2059 views
panel
flag Panel Discussion
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
together with: Christian Plagemann, Dieter Fox, Andreas Krause, Raia Hadsell, Nicholas Roy, Jo-Anne Ting, Rajesh P. N. Rao, Jan Peters,
367 views
  lecture
flag Learning vehicular dynamics models with application to helicopter modeling and control
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
332 views
lecture
flag 34. The Stanford Autonomous Helicopter
as author at  AAAI 2009: AI Video Competition,
together with: Adam Coates, Andrew Ng,
1206 views