#corl2023

🚨Is it possible to devise an intuitive approach for crowdsourcing trainable data for robots without requiring a physical robot🤖? Can we democratize robot learning for all?🧑🤝🧑 Check out our latest #CoRL2023 paper-> AR2-D2: Training a Robot Without a Robot
Jiafei Duan38,871 просмотров • 3 лет назад

Our #CoRL2023 paper shows that by composing the energies of diffusion models trained to sample for individual constraint types such as collision-free, spatial relations, and physical stability, it can solve novel combinations of known constraints. (🧵 1/N)
Zhutian (Skye) Yang28,428 просмотров • 2 лет назад
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