Exploration Path Planning is a computational method that determines optimal trajectories for coordinated multi-robot teams to systematically uncover unknown environments by integrating real-time sensory data and task constraints to maximize information gain while ensuring spatial coverage and collision avoidance.
197
Publications
10.4K
Citations
646
Authors
229
Institutions
Publications per year
2017–2026
81
Parents
Publications
197
Coordination for Multi-Robot Exploration and Mapping
Reid Simmons, David Apfelbaum, Wolfram Burgard et al. · 2000 · 496 citations
1–5 of 197
Authors
646
- KA
13
h-index
- FM
10
h-index
- SK
9
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- RS
7
h-index
- NK
7
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1–5 of 646
Institutions
229
Carnegie Mellon University
Pittsburgh, United States
17 h-index
44 publications
2.9K citations
University of Nevada, Reno
Reno, United States
10 h-index
41 publications
4.1K citations
Jet Propulsion Laboratory
Pasadena, United States
9 h-index
25 publications
957 citations
ETH Zurich
Zurich, Switzerland
8 h-index
48 publications
6.1K citations
National University of Singapore
Singapore, Singapore
5 h-index
11 publications
1.2K citations
Politecnico di Milano
Milan, Italy
5 h-index
9 publications
465 citations
University of Freiburg
Freiburg im Breisgau, Germany
4 h-index
7 publications
474 citations
California Institute of Technology
Pasadena, United States
4 h-index
5 publications
490 citations
1–8 of 229
Venues
- IEEE Robotics and Automation Letters
15 publications · 1.4K citations
15
h-index
- Robotics and Autonomous Systems
16 publications · 990 citations
14
h-index
- Sensors
5 publications · 160 citations
5
h-index
- Annals of Mathematics and Artificial Intelligence
4 publications · 172 citations
4
h-index
- The International Journal of Robotics Research
IJRR · 3 publications · 487 citations
3
h-index
1–5