Web: http://arxiv.org/abs/2208.02918

Sept. 20, 2022, 1:13 a.m. | Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti

cs.CV updates on arXiv.org arxiv.org

Natural language is one of the most intuitive ways to express human intent.
However, translating instructions and commands towards robotic motion
generation and deployment in the real world is far from being an easy task. The
challenge of combining a robot's inherent low-level geometric and kinodynamic
constraints with a human's high-level semantic instructions traditionally is
solved using task-specific solutions with little generalizability between
hardware platforms, often with the use of static sets of target actions and
commands. This work instead …

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