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. Pieter Abbeel. Pieter Abbeel is a professor of electrical engineering and computer science, Director of the Berkeley Robot Learning Lab, and co-director of the Berkeley AI Research (BAIR) Lab at the University of California, Berkeley. Wij willen hier een beschrijving geven, maar de site die u nu bekijkt staat dit niet toe. 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. Hij begon in 2008 als hoogleraar aan de universiteit van Berkeley, waar hij zich vooral heeft gefocust op embodied learning. 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. Best Paper Award Winner or Finalist, NIPS, ICRA (four times) and ICMLPresidential Early Career Award for Scientists and Engineers (PECASE)IEEE Robotics and Automation Society Early Career AwardYoung Investigator Program Awards: ONR, AFOSR, Darpa, NSFDick Volz Best U.S. PhD Thesis in Robotics and Automation AwardCIFAR is a Canadian-based global research organization that convenes extraordinary minds to address the most important questions facing science and humanity. Pieter Abbeel Reinforcement Learning (RL) has brought forth ideas of autonomous robots that can navigate real-world environments with ease, aiding humans in a variety of tasks.
His robots have learned advanced helicopter aerobatics, knot-tying, and basic assembly, for example. Pieter Abbeel is on a mission to create architectures to do just that. As a professor, as the director of the Robot Learning Lab at Berkley, and as a serial entrepreneur, Abbeel has already established an impressive academic and business record in bringing robots out into the real world. Contact: Pieter Abbeel 746 Sutardja Dai Hall #1758 (Google maps) Berkeley, CA 94720-1758 pabbeel AT cs.berkeley.edu (preferred way of being contacted) Quick picks: Want to get up to speed on Deep Reinforcement Learnig? His research focuses on robotics, machine learning and control. The robot BRETT (Berkeley Robot for Elimination of Tedious Tasks) has mastered a range of skills, including folding laundry, knot-tying, and basic assembly. Keep up to date on what’s happening in AI by subscribing to our bi-monthly email publication The AICan Bulletin. February 19, 2016 Three young faculty members honored by White House.
"Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World." He joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sciences.
In particular, his research focuses on apprenticeship learning (making robots learn from people), reinforcement learning (how to make robots learn through their own trial and error), and how to speed up skill acquisition through learning-to-learn.
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. Verified email at cs.berkeley.edu - Homepage. 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. "One-shot Imitation Learning." This robot can fold laundry, while others can fly model helicopters or tie sutures. Credit: Winni Wintermeyer . Andrew Ng. He is part of a growing cadre of scientists exploring deep machine learning.
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