A human-robot teaming framework with adjustable LLM feedback improves collaboration in easy and medium tasks, but overly frequent feedback from a less capable LLM hurts performance in hard tasks.
Trust-aware decision making for human-robot collaboration: Model learning and plan- ning
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Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration
A human-robot teaming framework with adjustable LLM feedback improves collaboration in easy and medium tasks, but overly frequent feedback from a less capable LLM hurts performance in hard tasks.