Introspective Planning:
Aligning Robots' Uncertainty with Inherent Task Ambiguity
We propose a novel introspective planning scheme that prompts language-enabled agents to proactively assess their own confidence regarding task compliance and safety for multiple candidate plans.
@inproceedings{liangintrospective,
title={Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity},
author={Liang, Kaiqu and Zhang, Zixu and Fisac, Jaime Fern{\'a}ndez},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}
}