This work evolves freeform robots to pick up, hold, rotate, and use diverse objects, and uses contrastive learning to create a highly searchable genetic embedding of design space, an autoregressive developmental model to decode designs, evolutionary strategies to find good designs, and reinforcement learning to train e...
Zihan Guo, Shu-Zhe Zhang, Mu-Han Li et al.· 0 citations
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