Professor and Department Chair, Industrial Engineering and Operations Research William S. Floyd Jr. Distinguished Chair in Engineering - UC Berkeley
Dexterity Network (Dex-Net) 4.0: Analytics, Stochastics, and Deep Learning for Robust Grasping of Generic Objects from Bins UC Berkleley AUTOLAB
Ken Goldberg teaches and supervises research in Robotics, Automation, and New Media. Ken holds dual degrees in Electrical Engineering and Economics from the University of Pennsylvania (1984) and a PhD from Carnegie Mellon University (1990). He joined the UC Berkeley faculty in 1995 and is Professor of Industrial Engineering and Operations Research, with secondary appointments in EECS, the School of Information, Art Practice, and the UCSF Dept of Radiation Oncology. Ken and his co-authors have published over 200 peer-reviewed technical papers on algorithms for robotics, automation, and social information filtering, and he holds eight U.S. patents. He is Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (T-ASE), Co-Founder of the Berkeley Center for New Media, Co-Founder and CTO of Hybrid Wisdom Labs, Co-Founder of the Moxie Institute, and Founding Director of UC Berkeley's Art, Technology, and Culture Lecture Series.
Ken's art installations, based on his research, have been exhibited internationally at venues such as the Whitney Biennial, the Berkeley Art Museum, the SF Contemporary Jewish Museum, the Pompidou Center, the Buenos Aires Biennial, and the ICC in Tokyo. Ken has co-written three award-winning Sundance documentary films, "The Tribe", "Yelp", and "Connected: An Autoblogography of Love, Death, and Technology." He is represented by the Catharine Clark Gallery in San Francisco.
Ken was awarded the Presidential Faculty Fellowship by President Clinton in 1995, the National Science Foundation Faculty Fellowship in 1994, the Joseph Engelberger Robotics Award in 2000, and was elected IEEE Fellow in 2005.
Professor and Director of the Robot Learning Lab - UC Berkeley
Recent Advances and Trends in AI and Applications in Robotic Automation
Pieter Abbeel is Professor and Director of the Robot Learning Lab at UC Berkeley [2008- ], Co-Founder of covariant.ai [2017- ], Co-Founder of Gradescope [2014- ], Advisor to OpenAI, Founding Faculty Partner AI@TheHouse, Advisor to many AI/Robotics start-ups. He works in machine learning and robotics. 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). His robots have learned advanced helicopter aerobatics, knot-tying, basic assembly, organizing laundry, locomotion, and vision-based robotic manipulation. He has won numerous awards, including best paper awards at ICML, NIPS and ICRA, early career awards from NSF, Darpa, ONR, AFOSR, Sloan, TR35, IEEE, and the Presidential Early Career Award for Scientists and Engineers (PECASE). Pieter's work is frequently featured in the popular press, including New York Times, BBC, Bloomberg, Wall Street Journal, Wired, Forbes, Tech Review, NPR.