Helen Clark
Former Prime Minister of New Zealand. Appointed by the WHO to evaluate the world’s response to the COVID-19 pandemic
As the trailblazing Director of UC Berkeley's Robot Learning Lab and Co-founder of Covariant.ai, Pieter Abbeel is the luminary bridging the gap between artificial intelligence and practical robotics. With a unique focus on teaching robots advanced skills through deep learning, Abbeel's compelling insights ignite organizations' fascination with the burgeoning field of AI.
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AI speaker Pieter Abbeel is an AI & Robotics Professor, as well as the Robot Learning Lab’s Director at UC Berkeley. In 2014, Pieter co-founded Gradescope.com, while in 2017, he co-founded Covariant.ai. He is also an Advisor for many companies in the Robotics and AI field, including OpenAI. Moreover, Pieter created the Venture Fund AI@TheHouse and often gives lectures on artificial intelligence.
Pieter started the Berkeley Robot Learning Lab following his appointment at UC Berkeley as an assistant professor. Furthermore, in 2014, he helped develop Gradescope, which was sold to TurnItIn in 2018. Pieter created Gradescope with Sergey Karayev, Arjun Singh, Ibrahim Awwal, and several other UC Berkeley engineers.
Speaker Pieter Abbeel began working for OpenAI in 2016. Since then, he has written plenty of articles on robot learning, reinforcement learning, and unsupervised learning. 2016 saw him also take on the role of co-director of the Berkeley Artificial Intelligence Research Lab. The BAIR involves undergraduate and postdoctoral students that are passionate about robotics and machine learning.
His other venture is Berkeley Open Arms, which has licensed the intellectual property (IP) from Berkeley related to the Blue Robot project. In 2017, he was appointed as a tenured, full-time professor at the University of California, Berkeley.
Pieter Abbeel, Rocky Duan, Peter Chen, and Tianhao Zhang launched AI-based company covariant.ai in 2017. The New York Times, MIT Technology Review, Wired, and IEEE Spectrum all wrote articles regarding the company’s launch.
Covariant.ai leverages recent developments in deep reinforcement learning and deep imitation learning to produce artificial intelligence software that simplifies the process of teaching robots new, advanced skills. Abbeel is actively performing researches as well as teaching upper-division and graduate courses in robotics, artificial intelligence, and deep unsupervised learning.
Pieter’s work aims to get robots to learn from humans and from trial and error. He also works on speeding up skill acquisition using meta-learning. Aside from sophisticated helicopter aerobatics, basic assembly, knot tying, and laundry organization skills, Pieter’s robots have learned locomotion and vision-based robotic manipulation techniques.
He received several awards, one being the best paper awards at ICML, ICLR, ICRA, and NIPS. Pieter also obtained awards from Darpa, NSF, AFOSR, ONR, TR35, Sloan, IEEE, and the Presidential Early Career Award for Scientists and Engineers. The BBC, New York Times, Bloomberg, Wired, Wall Street Journal, Tech Review, Forbes, and NPR often mention Abbeel’s work.
Join AI luminary Pieter Abbeel as he explores the exciting world of artificial general intelligence (AGI). Drawing from his extensive research and expertise, Professor Abbeel will delve into reinforcement learning from scratch — a technique that may be instrumental to achieving AGI. Learn about the hurdles we've overcome, the challenges ahead, and the fascinating possibilities of an AGI future.
In this inspiring keynote, AI pioneer Pieter Abbeel shares his insights on using artificial intelligence to solve pressing global challenges. From climate change to healthcare, he will showcase real-world examples of how AI can have significant social impact. Attendees will gain a deeper understanding of reinforcement learning, imitation learning, and unsupervised learning, and how these cutting-edge technologies can be harnessed for the greater good.
Robotics and AI expert Pieter Abbeel invites you on a journey through the evolution of robotic autonomy. Delve into groundbreaking work on robotic manipulation and dexterity, and discover how these technologies are revolutionizing industry, healthcare, and our daily lives. Professor Abbeel will illustrate how advances in deep learning and reinforcement learning are bringing us closer to the dream of high-functioning, efficient robots.