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Chelsea Finn

Cofounder of Physical Intelligence and Associate Professor at Stanford, leading the Intelligence through Learning and Interaction Lab. Her research focuses on how AI systems can acquire general-purpose skills.

Top 5 podcasts with Chelsea Finn

Ranked by the Snipd community
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289 snips
Mar 20, 2025 • 35min

The Robotics Revolution, with Physical Intelligence’s Cofounder Chelsea Finn

Chelsea Finn, cofounded Physical Intelligence and is an Associate Professor at Stanford, where she focuses on enabling AI systems to learn general-purpose skills. In this engaging discussion, she sheds light on how robots acquire intelligence and the necessity for diverse data in training. Chelsea compares robotics advancements to self-driving cars and reveals the importance of innovative sensory systems. She shares insights about the evolving open-source landscape and emphasizes the need for collaborative efforts in robotics to achieve effective real-world functionality.
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17 snips
Nov 3, 2022 • 40min

Episode 21: Chelsea Finn, Stanford, on the biggest bottlenecks in robotics and reinforcement learning

Chelsea Finn is an Assistant Professor at Stanford and part of the Google Brain team. She's interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction at scale. In this episode, we chat about some of the biggest bottlenecks in RL and robotics—including distribution shifts, Sim2Real, and sample efficiency—as well as what makes a great researcher, why she aspires to build a robot that can make cereal, and much more.
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Feb 15, 2024 • 54min

Shaping the World of Robotics with Chelsea Finn

In this episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Topics include two-armed robots learning to cook shrimp, the challenges of developing humanoid and quadruped robots, the limitations of simulated environments, and the future of household robotics. She also talks about her work on student feedback in education and the impact of AI coding tools on computer science education.
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Jun 5, 2024 • 8min

A realistic path to robotic foundation models

Sergey Levine and Chelsea Finn from Physical Intelligence discuss a realistic path to robotic foundation models, key factors for the future of robotics, and the transformerification of robotics. They explore the shift towards horizontal robotics companies and the importance of building general robotics models for various tasks.
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Jan 2, 2020 • 1h 8min

Trends in Reinforcement Learning with Chelsea Finn - #335

Chelsea Finn, Assistant Professor at Stanford University, shares her insights on advancements in reinforcement learning. She breaks down model-based approaches and the challenges of exploration in complex environments like Montezuma's Revenge. The discussion also touches on the importance of curriculum learning in robotics and the nuances of batch off-policy learning. With exciting implications for real-world applications, Chelsea highlights the evolving landscape of RL libraries and their role in bridging the gap between simulation and practical deployment.