Failure Explanation
Failure Explanation is a type of robot explainability mechanism that specifically accounts for a robot's operational breakdown or suboptimal performance by elucidating the underlying causes, conditions, or decision-making flaws that led to the failure, thereby distinguishing it from general explainability methods that may address normal-function or task-based behavior.
22
Publications
667
Citations
45
Authors
23
Institutions
Publications per year
2017–2026
11
Parents
22
Explainable AI for Robot Failures
Devleena Das, Siddhartha Banerjee, Sonia Chernova · 2021 · 89 citations · Full text
Arun Kumar Tarofder, Seyed Rajab Nikhashemi, S. M. Ferdous Azam et al. · International Journal of Quality and Service Sciences · 2016 · 60 citations
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Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
360 citations
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
4 publications
116 citations
Universität Ulm
Ulm, Germany
1 h-index
1 publications
17 citations
Würzburg Institute for Traffic Sciences (Germany)
Veitshöchheim, Germany
1 h-index
4 publications
68 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
2 publications
128 citations
Hewlett-Packard (United Kingdom)
Bracknell, United Kingdom
1 h-index
1 publications
27 citations
RWTH Aachen University
Aachen, Germany
1 h-index
1 publications
11 citations
University of Colorado Boulder
Boulder, United States
1 h-index
2 publications
80 citations
1–8 of 23
2 publications · 57 citations
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Repository · 2 publications · 33 citations
2
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1 publications · 23 citations
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Conference · 1 publications · 27 citations
1
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Conference · 1 publications · 56 citations
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