Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing

Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, as well as account for possible discrepancies between human-provided data and these beliefs. To this end, this paper introduc...

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Veröffentlicht in:	arXiv.org 2023-04
Hauptverfasser:	Wakayama, Shohei, Nisar, Ahmed
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Computer Science - Robotics Data integration Robot sensors Semantics State estimation
Online-Zugang:	Volltext
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