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How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots. (arXiv:2312.08820v1 [cs.RO])
cs.CR updates on arXiv.org arxiv.org
Humanoid robots will be able to assist humans in their daily life, in
particular due to their versatile action capabilities. However, while these
robots need a certain degree of autonomy to learn and explore, they also should
respect various constraints, for access control and beyond. We explore the
novel field of incorporating privacy, security, and access control constraints
with robot task planning approaches. We report preliminary results on the
classical symbolic approach, deep-learned neural networks, and modern ideas
using large …
action assistive capabilities case daily humanoid humans learn life neuro planning respect robot robots task