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Title: Failure Explanation in Privacy-Sensitive Contexts: An Integrated Systems Approach
In this paper, we explore how robots can properly explain failures during navigation tasks with privacy concerns. We present an integrated robotics approach to generate visual failure explanations, by combining a language-capable cognitive architecture (for recognizing intent behind commands), an object- and location-based context recognition system (for identifying the locations of people and classifying the context in which those people are situated) and an infeasibility proof-based motion planner (for explaining planning failures on the basis of contextually mediated privacy concerns). The behavior of this integrated system is validated using a series of experiments in a simulated medical environment.  more » « less
Award ID(s):
1849348
PAR ID:
10458324
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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