Thomas Kopfstedt
Papers
6
Total Citations
85
H-Index
3
About
Thomas Kopfstedt is a robotics researcher whose work centers on autonomous navigation, formation control, and path planning for mobile robots operating in complex, unstructured environments. His most impactful contribution is the application of the Hybrid A* algorithm to autonomous mobile robots for path planning in unstructured outdoor terrains, a paper that has garnered 64 citations and addresses the critical challenge of robust navigation across both paved streets and rugged, off-road regions. Kopfstedt has also made significant advances in multi-robot systems, developing networked formation control strategies using mixed integer programming to enable groups of mobile robots to maintain precise formations with minimal inter-robot communication. His research extends to terrain-optimized nonholonomic following of vehicle tracks and control methods for UGV convoys in unexplored, partially unpaved terrain, demonstrating a sustained focus on real-world, challenging environments. With a career spanning foundational work in 2006 to more recent applications in 2022, Kopfstedt’s contributions are essential for students and researchers interested in autonomous navigation, multi-robot coordination, and field robotics.
Research Focus
Key Achievements
Top Papers
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- 4Terrain Optimized Nonholonomic Following of Vehicle Tracks3 citations · 2010
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