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Pieter Abbeel: Paving the Path to Generalizable Robotics

Posted Oct 18
# TransformX 2022
# Keynote
# Robotics
# Computer Vision
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SPEAKER
Pieter Abbeel
Pieter Abbeel
Pieter Abbeel
Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab @ UC Berkeley and Covariant

Professor Pieter Abbeel is Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab. Abbeel has founded two companies: Gradescope (AI to help instructors with grading homework and exams) and Covariant (AI for robotic automation of warehouses and factories). Abbeel is founding partner at AIX Ventures, a Venture Capital firm focused on AI start-ups. Abbeel is the host of The Robot Brains podcast, which explores what AI and Robotics can do today and where they are headed, through conversations with the world's leading AI and Robotics pioneers. Abbeel has received many awards and honors, including the PECASE, NSF-CAREER, ONR-YIP, Darpa-YFA, TR35. His work is frequently featured in the press, including the New York Times, Wall Street Journal, BBC, Rolling Stone, Wired, and Tech Review.

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Professor Pieter Abbeel is Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab. Abbeel has founded two companies: Gradescope (AI to help instructors with grading homework and exams) and Covariant (AI for robotic automation of warehouses and factories). Abbeel is founding partner at AIX Ventures, a Venture Capital firm focused on AI start-ups. Abbeel is the host of The Robot Brains podcast, which explores what AI and Robotics can do today and where they are headed, through conversations with the world's leading AI and Robotics pioneers. Abbeel has received many awards and honors, including the PECASE, NSF-CAREER, ONR-YIP, Darpa-YFA, TR35. His work is frequently featured in the press, including the New York Times, Wall Street Journal, BBC, Rolling Stone, Wired, and Tech Review.

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SUMMARY

Pieter Abbeel wears many hats: Professor at UC Berkeley, Director of the Berkeley Robot Learning Lab, Founder of three companies, podcast host, and investor. The common thread is that Professor Abbeel is passionate about AI and robotics. In this keynote presentation, he explores the possibility of training a large neural network to enable faster learning in robotics. Professor Abbeel discusses his lab’s approach to solving this problem and will cover how video prediction is an excellent proxy for generalizable robots, the relevant models and datasets useful for pre-training, how unsupervised learning can help robots learn from themselves; and the usefulness of a human-in-the-loop. He describes a four-step framework that might be able to lead, ultimately, to generalized robotics. Professor Abbeel is co-director of the Berkeley Artificial Intelligence (BAIR) Lab and founded Gradescope, which provides AI to help instructors with grading homework and exams, and Covariant, which provides AI for robotic automation of warehouses and factories. He is also a founding partner at AIX Ventures, a venture capital firm focused on AI start-ups, and is the host of The Robot Brains podcast, which explores what AI and robotics can do today and where they are headed.

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