Pieter Abbeel
{{Short description|Machine learning researcher at Berkeley}}
{{Infobox scientist
| name = Pieter Abbeel
| image = Pieter Abbeel pictured at CovariantHQ in November 2017.jpg
| birth_place = Antwerp, Belgium
| alma_mater = KU Leuven (BS, MS)
Stanford University (PhD)
| thesis_title = Apprenticeship learning and reinforcement learning with application to robotic control
| thesis_url = https://www.proquest.com/docview/304472515/
| thesis_year = 2008
| doctoral_advisor = Andrew Ng
| awards =
| fields = Artificial intelligence, machine learning, deep reinforcement learning, robotics, unsupervised learning
| workplaces = University of California, Berkeley
| doctoral_students = Chelsea Finn
}}
Pieter Abbeel is a professor of electrical engineering and computer sciences,{{Cite web|url=https://www2.eecs.berkeley.edu/Faculty/Homepages/abbeel.html|title=UC Berkeley Electrical Engineering and Computer Sciences}} Director of the Berkeley Robot Learning Lab,{{Cite web|url=http://rll.berkeley.edu/|title=UC Berkeley Robot Learning Lab}} and co-director of the Berkeley AI Research (BAIR){{Cite web|url=https://bair.berkeley.edu/|title=Berkeley Artificial Intelligence Research (BAIR) Lab}} Lab at the University of California, Berkeley. He is also the co-founder of Covariant,{{Cite news|url=https://spectrum.ieee.org/ai-startup-embodied-intelligence|title=AI Startup Embodied Intelligence Wants Robots to Learn From Humans in Virtual Reality|last=Ackerman|first=Evan|date=November 8, 2017|work=IEEE Spectrum}}{{Cite news|url=https://www.technologyreview.com/s/609339/these-ai-hotshots-plan-to-reboot-manufacturing-by-jumping-inside-robots/|title=These AI Hotshots Plan to Reboot Manufacturing by Jumping Inside Robots|last=Knight|first=Will|date=November 7, 2017|work=MIT Technology Review}}{{Cite news|url=https://www.nytimes.com/2017/11/06/technology/artificial-intelligence-start-up.html|title=A.I. Researchers Leave Elon Musk Lab to Begin Robotics Start-Up|last=Metz|first=Cade|date=November 6, 2017|work=The New York Times}}{{Cite magazine|url=https://www.wired.com/story/embodied-intelligence-want-to-really-teach-a-robot-command-it-with-vr/|title=Want to Really Teach a Robot? Command It With VR|last=Simon|first=Matt|date=November 7, 2017|magazine=WIRED}}{{Cite web|url=http://covariant.ai/|title=Covariant.AI}} a venture-funded start-up that aims to teach robots new, complex skills, and co-founder of Gradescope,{{Cite web|url=https://www.gradescope.com/|title=Gradescope}} an online grading system that has been implemented in over 500 universities across the USA. He is best known for his cutting-edge research in robotics and machine learning, particularly in deep reinforcement learning. In 2021, he joined AIX Ventures{{Cite web |title=AIX Ventures - An AI Fund |url=https://www.aixventures.com/ |access-date=2023-01-13 |website=AIX Ventures |language=en-US}} as an Investment Partner. AIX Ventures is a venture capital fund that invests in artificial intelligence startups.
Early life and education
Abbeel was born in Antwerp, Belgium in 1977. He grew up in nearby suburb Brasschaat.
As a high school student at {{Ill|Sint-Michielscollege (Brasschaat)|nl}}, Abbeel played on the club basketball team. He went on to play on the basketball team of KU Leuven University, where he obtained a Bachelor of Science and Master of Science in electrical engineering in 2000.
Abbeel received his Ph.D. in computer science from Stanford University. He specialized in artificial intelligence research, noting that his interest in AI sparked from the realization that AI can help build tools for other disciplines and that intelligence sets humans apart from other species.{{Cite news|url=https://www.gondola.be/nl/news/pieter-abbeel-robotica-zal-nog-sterk-evolueren|title=Pieter Abbeel: "Robotica zal nog sterk evolueren"|date=June 21, 2019|work=Gondola Magazine}} Originally, Abbeel intended to pursue a master's degree in computer science, but decided to stay for his Ph.D. due to the abundance of AI projects happening at Stanford. He was the first PhD student of AI Professor Andrew Ng, who was a first-year professor at Stanford at the time. After finishing his Ph.D. in 2008, Abbeel became an assistant professor in Berkeley's electrical engineering and computer science department.
Career
Upon his arrival at UC Berkeley as an assistant professor, Abbeel founded the Berkeley Robot Learning Lab. Additionally, in 2014, he co-founded Gradescope with other UC Berkeley-affiliated engineers Arjun Singh, Sergey Karayev, Ibrahim Awwal,{{Cite web|url=https://www.gradescope.com/about|title=Gradescope}} which was acquired by TurnItIn in 2018.{{Cite web|url=https://www.turnitin.com/|title=Turn It In}} In 2016, Abbeel joined OpenAI, where he has published numerous articles on reinforcement learning, robot learning, and unsupervised learning. Also in 2016, he became co-director of the Berkeley Artificial Intelligence Research (BAIR) Lab, which consists of post-doctoral, graduate, and undergraduate students interested in machine learning and robotics. He also founded Berkeley Open Arms,{{Cite web|url=https://www.berkeleyopenarms.org/|title=Berkeley Open Arms}} which has licenses the IP on the Blue Robot{{Cite news|url=https://news.berkeley.edu/2019/04/09/meet-blue-the-low-cost-human-friendly-robot-designed-for-ai/|title=Meet Blue, the low-cost, human-friendly robot designed for AI|last=Manke|first=Kara|date=April 9, 2019|work=Berkeley News}} project from Berkeley. In 2017, he became a full-time professor with tenure at UC Berkeley.
In October 2017, Abbeel and three of his students, Peter Chen, Rocky Duan, and Tianhao Zhang, co-founded Covariant (formerly named Embodied Intelligence). Based in Emeryville, California, Covariant launched in January 2020{{Cite press release|last=Covariant|title=Covariant launches from stealth to bring universal AI to robots|url=https://www.prnewswire.com/news-releases/covariant-launches-from-stealth-to-bring-universal-ai-to-robots-300995185.html|access-date=2021-11-15|website=www.prnewswire.com|language=en}} and was covered in, among others, New York Times,{{Cite news|url=https://www.nytimes.com/2017/11/06/technology/artificial-intelligence-start-up.html|title=A.I. Researchers Leave Elon Musk Lab to Begin Robotics Start-Up|last=Metz|first=Cade|date=November 6, 2017|work=The New York Times}} Wired,{{Cite magazine|url=https://www.wired.com/story/embodied-intelligence-want-to-really-teach-a-robot-command-it-with-vr/|title=Want to Really Teach a Robot Command It With VR|last=Simon|first=Matt|date=November 7, 2017|magazine=WIRED}} MIT Technology Review,{{Cite news|url=https://www.technologyreview.com/s/609339/these-ai-hotshots-plan-to-reboot-manufacturing-by-jumping-inside-robots/|title=These AI Hotshots Plan to Reboot Manufacturing by Jumping Inside Robots|last=Knight|first=Will|date=November 7, 2017|work=MIT Technology Review}} and IEEE Spectrum.{{Cite news|url=https://spectrum.ieee.org/ai-startup-embodied-intelligence|title=AI Startup Embodied Intelligence Wants Robots to Learn From Humans in Virtual Reality|last=Ackerman|first=Evan|date=November 8, 2017|work=IEEE Spectrum}} The company currently has $147M in funding.{{Cite web|title=Robotic AI firm Covariant raises another $80 million|url=https://techcrunch.com/2021/07/27/robotic-ai-firm-covariant-raises-another-80-million/|access-date=2021-11-15|website=TechCrunch|date=27 July 2021 |language=en-US}} The website discloses that the team is building a universal AI to help robots see, reason, and on the world around them using deep imitation learning and deep reinforcement learning. Currently, in addition to his research, Abbeel teaches upper-division and graduate classes on Artificial Intelligence, Robotics, and Deep Unsupervised Learning.{{Cite web|url=https://people.eecs.berkeley.edu/~pabbeel/|title=Pieter Abbeel's Website}} Abbeel also hosts a weekly podcast, The Robot Brains, featuring experts in AI and robotics.{{Cite web|title=The Robot Brains Podcast - YouTube|url=https://www.youtube.com/c/TheRobotBrainsPodcast/videos|access-date=2021-11-15|website=www.youtube.com}}
References
{{Reflist}}
External links
- {{Official website|https://people.eecs.berkeley.edu/~pabbeel/}}
- [https://scholar.google.com/citations?user=vtwH6GkAAAAJ&hl=en Google Scholar Profile]
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Category:Sloan Research Fellows
Category:UC Berkeley College of Engineering faculty
Category:Stanford University School of Engineering alumni
Category:Recipients of the Presidential Early Career Award for Scientists and Engineers