Paper
Robótica & RL
OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies
OmniTacTune enables efficient adaptation of tactile feedback to visual robot policies through a two-stage reinforcement learning approach that improves success rates in contact-ric…
Hugging Face · Daily Papers
·Kelin Yu, Haode Zhang
·
·▲ 5 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Kelin Yu, Haode Zhang, Harish Ravichandar, Yunhai Han, Ruohan Gao
- 5 upvotes da comunidade
- Temas: visual policies, tactile sensing, contact-rich manipulation, policy-agnostic, real-world RL, tactile feedback
Resumo
Resumo original (em inglês), extraído do paper:
OmniTacTune enables efficient adaptation of tactile feedback to visual robot policies through a two-stage reinforcement learning approach that improves success rates in contact-rich manipulation tasks.Onde ler
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