Sensor-Based Robot Perception is a systematic framework that integrates data from robotic sensors to generate meaningful environmental representations, distinguished by its reliance on physical sensor inputs to enable real-time, context-aware interpretation of spatial and temporal phenomena for autonomous decision-making.
97
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3.7K
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332
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109
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2017–2026
23
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Publications
97
Tactile-Object Recognition From Appearance Information
Zachary Pezzementi, Erion Plaku, Caitlin Reyda et al. · IEEE Transactions on Robotics · 2011 · 144 citations
1–5 of 97
Authors
332
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1–5 of 332
Institutions
109
Örebro University
Örebro, Sweden
5 h-index
16 publications
401 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
15 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
14 publications
437 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
9 publications
479 citations
The University of Tokyo
Tokyo, Japan
3 h-index
15 publications
334 citations
University of Hertfordshire
Hatfield, United Kingdom
3 h-index
8 publications
246 citations
The University of Osaka
Osaka, Japan
3 h-index
7 publications
179 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
7 publications
203 citations
1–8 of 109
Venues
- The International Journal of Robotics Research
IJRR · 5 publications · 295 citations
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- Robotics and Autonomous Systems
4 publications · 125 citations
4
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- Sensors
3 publications · 88 citations
3
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- Robotics
3 publications · 107 citations
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- IEEE Sensors Journal
2 publications · 46 citations
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