Interpretable Robot Decision-making
Interpretable Robot Decision-Making is a robotic decision-making process that belongs to the class of transparent autonomous systems and is distinguished by its capacity to generate internally coherent, human-comprehensible explanations of its choices, enabling observers to understand, predict, and trust the rationale behind specific actions.
9
Publications
267
Citations
33
Authors
19
Institutions
Publications per year
2017–2026
7
Parents
9
Linguistic decision schemata for intelligent robots
G.N. Saridis, J. H. Graham · Automatica · 1984 · 52 citations
VLAAD: Vision and Language Assistant for Autonomous Driving
SungYeon Park, Min Jae Lee, JiHyuk Kang et al. · 2024 · 34 citations
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19
University of Miami
Coral Gables, United States
1 h-index
2 publications
24 citations
University of Malaya
Kuala Lumpur, Malaysia
1 h-index
1 publications
16 citations
Auburn University
Auburn, United States
1 h-index
4 publications
84 citations
The University of Texas at Austin
Austin, United States
1 h-index
5 publications
225 citations
Bellevue Hospital Center
New York, United States
1 h-index
1 publications
21 citations
Nvidia (United States)
Santa Clara, United States
1 h-index
1 publications
21 citations

Shenzhen University
Shenzhen, China
1 h-index
3 publications
96 citations
University of Utah
Salt Lake City, United States
1 h-index
1 publications
12 citations
1–8 of 19
1 publications · 52 citations
1
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1 publications · 32 citations
1
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1 publications · 21 citations
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1 publications · 16 citations
1
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1 publications · 12 citations
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