Robot Perception Features
Robot Perception Features is a methodological construct in robotics that comprises distinctive, measurable patterns or attributes extracted from sensory data to enable machines to interpret and understand environmental states and object properties for effective interaction.
39
Publications
1.4K
Citations
124
Authors
47
Institutions
Publications per year
2017–2026
11
Parents
39
1–5 of 39
124
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Second Affiliated Hospital of Chongqing Medical University, China
2 publications · 63 citations
2
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1–5 of 124
47

University of Salford
Salford, United Kingdom
2 h-index
2 publications
63 citations
The University of Tokyo
Tokyo, Japan
2 h-index
4 publications
80 citations
University of California, Berkeley
Berkeley, United States
2 h-index
7 publications
102 citations
Tokyo Institute of Technology
Tokyo, Japan
2 h-index
2 publications
40 citations
University of Hertfordshire
Hatfield, United Kingdom
2 h-index
7 publications
203 citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
1 h-index
1 publications
15 citations

University of Essex
Colchester, United Kingdom
1 h-index
1 publications
10 citations
Samsung (South Korea)
Seoul, South Korea
1 h-index
1 publications
13 citations
1–8 of 47
2 publications · 124 citations
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Repository · 2 publications · 67 citations
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TCDS · 2 publications · 139 citations
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Conference · 2 publications · 47 citations
2
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1 publications · 10 citations
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