His group has also enabled a robot to reliably pick up randomly shaped, crumpled pieces of laundry and fold them. Anthony Stamos … Sort by citations Sort by year Sort by title. Pieter Abbeel joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences. Year; Trust region policy optimization. In particular his research focuses on making robots learn from people (apprenticeship learning), how to make robots learn through their own trial and error (reinforcement learning), and how to speed up skill acquisition through learning-to-learn (meta-learning). Robotics Machine Learning AI. By continuing to use our site, you consent to our usage of such tools in accordance with our Global Partner programs are developed in collaboration with leading organizations from a variety of fields and leverage the strengths of both institutions.Custom in-person or online programs tailored to your team’s unique business goals.Attend a program with a group of your colleagues and receive a special discounted rate. Articles Cited by Co-authors. Learn to set up a machine learning problem with a neural network mindset. Professor Abbeel has won various awards, including the Sloan Research Fellowship, the Air Force Office of Scientific Research Young Investigator Program (AFOSR-YIP) award, the Okawa Research Grant, the 2011 TR35, the IEEE Robotics and Automation Society (RAS) Early Career Award, and the Dick Volz Best U.S. Ph.D. Thesis in Robotics and Automation Award. His robots have learned advanced helicopter aerobatics, knot-tying, and basic assembly, for example. His research focuses on robotics, machine learning and control. In particular his research focuses on making robots learn from people (apprenticeship learning), how to make Positions: Professor, UC Berkeley, EECS, BAIR, CHCAI(2008- ) Director of the UC Berkeley Robot Learning Lab Co-Founder, President, and Chief Scientist covariant.ai(2017- ) Research Scientist (2016-2017), Advisor (2018- ) OpenAI Co-Founder Gradescope(2014- ) Some companies I am actively advising: Dishcraft Robotics, Off World, Preferred Networks, TensorFlight, Traptic, onai, inzone.ai
Verified email at cs.berkeley.edu - Homepage. Cited by. J Schulman, S Levine, P Abbeel… His research focuses on … His work has been featured in publications, such as February 19, 2016 Three young faculty members honored by White House. 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. Video created by deeplearning.ai for the course "Neural Networks and Deep Learning".
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He works in machine learning and robotics.
UC Berkeley | Covariant.AI. Pieter Abbeel is a Professor at UC Berkeley’s Electrical Engineering and Computer Sciences school and Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence Research (BAIR) lab. Sort. Pieter Abbeel is a Professor at UC Berkeley’s Electrical Engineering and Computer Sciences school and Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence Research (BAIR) lab.
His work has been featured in many popular press outlets, including BBC, Pieter Abbeel Xiaolong Wang In most real world scenarios, a policy trained by reinforcement learning in one environment needs to be deployed in another, potentially quite different environment. Pieter Abbeel Prof UC Berkeley, Founder/President/Chief Scientist covariant.ai (formerly Embodied Intelligence), Founder Gradescope San Francisco Bay Area 500+ connections Pieter Abbeel. Bakar Fellow Pieter Abbeel studies deep learning in robots. Professor UC Berkeley Electrical Engineering and Computer Sciences (EECS)This website uses cookies as well as similar tools and techniques to understand the customer's experience while on our site.
Title. The robot BRETT (Berkeley Robot for Elimination of Tedious Tasks) has mastered a range of skills, including folding laundry, knot-tying, and basic assembly. Also, Abbeel, who has won numerous awards for his work, frequently hosts executive groups for lectures and discussions on recent advances and trends in AI.
Pieter Abbeel joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences. He works in machine learning and robotics.
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