4.5.23-AI-Tedrake

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Advances in machine learning and control have enabled a new breed of dexterous robots that can leverage rich perceptual inputs and manipulate objects that would be difficult to model in a simulation. In this talk, I'll describe recent results in feedback control from pixels, intuitive physics, and control for dexterous manipulation. I'll describe some open theoretical challenges and show some fun experimental results.

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Video details

Advances in machine learning and control have enabled a new breed of dexterous robots that can leverage rich perceptual inputs and manipulate objects that would be difficult to model in a simulation. In this talk, I'll describe recent results in feedback control from pixels, intuitive physics, and control for dexterous manipulation. I'll describe some open theoretical challenges and show some fun experimental results.

Locked Interactive transcript

4.5.23-AI-Tedrake

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