Today we’re joined by Ken Goldberg, professor of engineering and William S. Floyd Jr. distinguished chair in engineering at UC Berkeley.
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Ken, who is also an accomplished artist, and collaborator on projects such as DexNet and The Telegarden, has recently been focusing on robotic learning for grasping. In our conversation with Ken, we chat about some of the challenges that arise when working on robotic grasping, including uncertainty in perception, control, and physics. We also discuss his view on the role of physics in robotic learning, citing co-contributors Sergey Levine and Pieter Abbeel along the way. Finally, we discuss some of his thoughts on potential robot use cases, from the use of robots in assisting in telemedicine, and agriculture, and even robotic Covid-19 testing.
Connect with Ken!
- Dex-Net by Berkeley Automation
- UC Berkeley’s AUTOLAB
- The Telegarden
- #028 – Reinforcement Learning Deep Dive with Pieter Abbeel
- #355 – Advancements in Reinforcement Learning with Sergey Levine
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“More On That Later” by Lee Rosevere licensed under CC By 4.0