Configuration Space Optimization is a computational framework within robotics that systematically refines the representation and traversal of a robot's configuration space by optimizing path-planning criteria such as collision avoidance, kinematic feasibility, and motion efficiency under constrained environmental and mechanical conditions.
190
Publications
9.7K
Citations
554
Authors
223
Institutions
Publications per year
2017–2026
66
Parents
Publications
190
Path planning in expansive configuration spaces
David Hsu, J.-C. Latombe, R. Motwani · 2002 · 546 citations
Path planning using Laplace's equation
Christopher I. Connolly, J. Brian Burns, Richard Weiss · 2002 · 478 citations
1–5 of 190
Authors
554
- KT
4
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- JK
3
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- SS
3
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- NR
3
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- HZ
3
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1–5 of 554
Institutions
223
Carnegie Mellon University
Pittsburgh, United States
8 h-index
18 publications
1.2K citations
Harbin Institute of Technology
Harbin, China
5 h-index
18 publications
504 citations
University of Toronto
Toronto, Canada
5 h-index
11 publications
386 citations
National University of Singapore
Singapore, Singapore
5 h-index
7 publications
199 citations
Stanford University
Stanford, United States
5 h-index
12 publications
2.8K citations
University of Michigan
Ann Arbor, United States
5 h-index
5 publications
131 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
7 publications
483 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
17 publications
1.1K citations
1–8 of 223
Venues
- Journal of Robotic Systems
7 publications · 342 citations
7
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- Energy
5 publications · 249 citations
5
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- Robotics and Computer-Integrated Manufacturing
4 publications · 60 citations
4
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- Energy Conversion and Management
4 publications · 292 citations
4
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- IEEE Robotics and Automation Letters
4 publications · 186 citations
4
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1–5