Multi-robot Perception
Multi-Robot Perception is a coordinated sensing and information-processing capability in which multiple robots collectively acquire, interpret, and fuse sensory data from shared or complementary viewpoints to construct a unified representation of environmental features, objects, or events beyond the scope of individual perception.
52
Publications
3.6K
Citations
198
Authors
85
Institutions
Publications per year
2017–2026
29
Parents
Children
Adversarial Perception ResilienceBandwidth-constrained PerceptionCommunication-aware PerceptionCooperative 3D ReconstructionCooperative Visual-inertial OdometryCross-robot Object RecognitionDecentralized PerceptionDistributed Place RecognitionDistributed Sensor FusionDistributed Visual Odometry
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85
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
287 citations
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
1.2K citations

University of Coimbra
Coimbra, Portugal
3 h-index
4 publications
244 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
173 citations

Universidad de Sevilla
Seville, Spain
3 h-index
11 publications
1.7K citations

The University of Sydney
Sydney, Australia
2 h-index
6 publications
824 citations
Australian Centre for Robotic Vision
Brisbane, Australia
2 h-index
6 publications
824 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
80 citations
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2 publications · 82 citations
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1 publications · 112 citations
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2 publications · 520 citations
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2 publications · 263 citations
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Repository · 2 publications · 39 citations
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