In-Context Learning for Robots: Methods and Applications
General-purpose robots must infer what a new task requires and translate that understanding into appropriate physical action. In-context learning (ICL) for robots supports this process by using demonstrations and interaction to direct existing competence with neural parameters held fixed during deployment. We organize...
Hao-Jian Huang, Ze-Xi Li, Ju-Hao Guo et al.
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