Explainable Autonomous Robots
Explainable Autonomous Robots is an academic construct referring to a class of autonomous robotic systems designed with intrinsic capabilities to generate human-understandable justifications of their decision-making processes, thereby enabling transparency, interpretability, and accountability in their actions within complex and dynamic environments.
31
Publications
1.8K
Citations
82
Authors
37
Institutions
Publications per year
2017–2026
18
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Robot task planning and explanation in open and uncertain worlds
Marc Hanheide, Moritz Göbelbecker, Graham S. Horn et al. · Artificial Intelligence · 2015 · 152 citations · Full text
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving
Long Chen, Oleg Sinavski, Jan Hünermann et al. · 2024 · 149 citations
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37

University of Auckland
Auckland, New Zealand
2 h-index
4 publications
502 citations
Technical University of Munich
Munich, Germany
2 h-index
8 publications
512 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
96 citations
Bielefeld University
Bielefeld, Germany
2 h-index
5 publications
148 citations

Cornell University
Ithaca, United States
2 h-index
5 publications
269 citations

University of Birmingham
Birmingham, United Kingdom
1 h-index
1 publications
40 citations

Japan Society for the Promotion of Science
Tokyo, Japan
1 h-index
1 publications
29 citations
Science Oxford
Oxford, United Kingdom
1 h-index
4 publications
60 citations
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1 publications · 33 citations
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Conference · 1 publications · 154 citations
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1 publications · 16 citations
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1 publications · 26 citations
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1 publications · 23 citations
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