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.
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and pref- erences
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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.