Mark H. Overmars

Utrecht University

Papers

20

Total Citations

1,259

H-Index

12

About

Mark H. Overmars is a pioneering figure in computational geometry and robot motion planning, whose work has fundamentally shaped how robots navigate complex environments. His research focuses on developing efficient algorithms for path planning, particularly for multiple robots and nonholonomic systems. Overmars introduced the revolutionary probabilistic roadmap (PRM) approach, which splits motion planning into a learning phase and a query phase, enabling rapid pathfinding in high-dimensional configuration spaces. His seminal 1995 paper on probabilistic learning for motion planning has garnered 171 citations, while his work on coordinated path planning for multiple robots (276 citations) remains a cornerstone of multi-agent robotics. Overmars also advanced path quality, creating methods that produce short, clearance-rich paths for real-time applications. His notable achievements include the Corridor Map Method for high-quality, real-time path planning and innovative techniques for camera movements in virtual environments. With over 1,000 total citations across his most influential works, Overmars’ contributions continue to inspire researchers in robotics, computer graphics, and virtual reality, offering elegant solutions to some of the field’s most challenging problems.

Research Focus

Key Achievements

12
H-Index
20
Papers
1,259
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
Coordinated path planning for multiple robots
276 citations · 1998
📈 Most Prolific Year: 1998 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Utrecht University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago