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MIT's new AI can teach itself to control robots by watching the world through their eyes — it only needs a single camera
Controlling diverse robots by inferring jacobian fields with deep networks! Let's make robots understand where their bodies are! - sizhe-li/neural-jacobian-field
[TL;DR] Neural Jacobian Fields are a general-purpose representation of robotic systems that can be learned from perception. We are working on a simplified implementation using CoTracker for the motion data extraction process, which will be released before the end of June. The authors thank Hyung Ju Terry Suh for his writing suggestions (system dynamics) and Tao Chen and Pulkit Agrawal for their hardware support on the Allegro hand.
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