Perceived Appropriateness: A Novel View for Resolving Inappropriate Robot Behavior in Socially-Aware Navigation

Doctoral Thesis (2025)
Author(s)

Y. Zhou (TU Delft - Industrial Design Engineering)

Contributor(s)

G.W. Kortuem – Promotor (TU Delft - Industrial Design Engineering)

A. Bozzon – Promotor (TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - Industrial Design Engineering)

Research Group
Knowledge and Intelligence Design
DOI related publication
https://doi.org/10.4233/uuid:2b8953d2-e29a-4185-9dbd-b99548d10365 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Knowledge and Intelligence Design
ISBN (electronic)
978-94-6518-029-8
Downloads counter
239
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Abstract

Robots are increasingly navigating our living environments and must navigate socially to be accepted. While existing socially aware navigation (SAN) approaches enable robots to interpret and communicate social information to navigate efficiently, safely, and in a socially acceptable manner, they often overlook potential conflicts and errors in real-world human-robot interactions. This thesis contributes to SAN by investigating how robots can adapt their inappropriate navigation behavior based on human feedback (perceived appropriateness), leading to smoother and less error-prone human-robot interactions....

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