Mac Schwager: How General are Generalist Robot Policies?
MIT - April 3, 2026 Speaker: Mac Schwager Seminar title: How General are Generalist Robot Policies? Data Scaling, Diagnostic Tools, and Memorization in VLAs Affiliation: Stanford University

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Fully autonomous robots are much closer than you think – Sergey Levine

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Ken Goldberg: Good Old-Fashioned Engineering Can Close the 100,000 Year “Data Gap” in Robotics

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Anirudha Majumdar: Rethinking Robot Safety & Alignment in the Era of Generalist Policies

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MIT Robotics - Dieter Fox - Toward Foundational Robot Manipulation Skills

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Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough

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Yann LeCun: World Models: Enabling the next AI revolution

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Something is jamming GPS over Europe. Here's what we found

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MIT Robotics - Zac Manchester - Composable Optimization for Robotic Motion Planning and Control

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Demis Hassabis, Alison Noble and Paul Nurse discuss the future of science with AI

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"An endless demand for compute" | Jonathan Ross, founder of Groq

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NVIDIA's Jensen Huang on Building the Dynamo of the Intelligence Age

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Sergey Levine (UC Berkeley): Robot Foundation Models

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MIT Robotics - Yuval Tassa - Predictive Sampling: Real-time behavior synthesis with MuJoCo

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MIT Robotics - Andrew Davison - From SLAM to Spatial AI

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Training Sand to Think: Artificial General Intelligence & Future of Physics

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Gregory Stein: Making Robot Planners Comfortable with Missing Knowledge

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RI Seminar: Max Simchowitz: Generative Control, Action Chunking, and Moravec’s Paradox
![Ted Xiao: Three Eras of Robot Learning [ETHZ Robot Learning 2026]](https://i.ytimg.com/vi/VS7Ulaugevg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAc691w3GNGGRk7GjgerdRSpzFxcw)
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Ted Xiao: Three Eras of Robot Learning [ETHZ Robot Learning 2026]

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Trevor Darrell: Efficient & Robust Multimodal Intelligence from "Blind" Models to 4D Representations

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