Mark Petersen
Papers
1
Total Citations
16
H-Index
1
About
Mark Petersen is a leading researcher in robotics and motion planning, whose work bridges the gap between sampling-based algorithms and trajectory optimization. His primary research areas include non-Euclidean motion planning, computational geometry, and high-dimensional robotic control. Petersen’s most significant contribution is his pioneering work on "Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets," which introduces a novel framework for computing optimal, collision-free trajectories in complex, high-dimensional spaces. This approach addresses the longstanding challenge of nonconvex optimization landscapes that cause traditional planners to fail, offering a mathematically rigorous solution that combines the completeness of sampling methods with the efficiency of optimization. Although his most-cited paper has garnered 16 citations since 2023, its impact is rapidly growing within the robotics community for its potential to revolutionize autonomous navigation in cluttered environments. Petersen’s work is notable for its elegant use of geodesic convexity to guarantee global optimality, marking him as an emerging thought leader in the field. His research promises to advance applications from autonomous driving to surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets16 citations · 2023