Robot Self-explanation
Robot Self-Explanation is a computational capability enabling a robot to generate intelligible accounts of its own decisions, behaviors, or internal states, distinguishing it from general transparency methods by originating from the robot’s own cognitive or operational architecture.
34
Publications
1.7K
Citations
107
Authors
53
Institutions
Publications per year
2017–2026
20
Parents
34
A Robot that Learns to Communicate with Human Caregivers
Hideki Kozima, Hiroyuki Yano · 2001 · 125 citations
Meghann Lomas, Robert Chevalier, E. Vincent Cross et al. · 2012 · 74 citations
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53
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
704 citations

Sejong University
Seoul, South Korea
2 h-index
2 publications
24 citations

Italian Institute of Technology
Genoa, Italy
2 h-index
8 publications
140 citations

Laboratoire d'Analyse et d'Architecture des Systèmes
Toulouse, France
2 h-index
6 publications
248 citations

Keio University
Tokyo, Japan
2 h-index
6 publications
120 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
248 citations
Bielefeld University
Bielefeld, Germany
2 h-index
6 publications
224 citations

Cornell University
Ithaca, United States
2 h-index
3 publications
36 citations
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THRI · 2 publications · 83 citations
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2 publications · 75 citations
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1 publications · 33 citations
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1 publications · 64 citations
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Conference · 1 publications · 42 citations
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