Mark Simon
Papers
8
Total Citations
149
H-Index
5
About
Mark Simon is a robotics and computer vision researcher whose work has made meaningful contributions to autonomous robot control, real-time visual tracking, and adaptive motor learning. Best known for his research on robot soccer platforms through the FU-Fighters team — a project that competed in RoboCup for over six consecutive years — Simon used these competitive environments as testbeds for solving fundamental challenges in autonomous systems. His most cited work, "Predicting Away Robot Control Latency" (2004, 48 citations), addresses the critical problem of communication delays in robot control, while "Robust Real Time Color Tracking" (2001, 42 citations) demonstrated reliable visual tracking methods that have informed subsequent computer vision research. His exploration of hierarchical dynamical systems for reactive behavior (26 citations) reflects a deeper interest in biologically inspired control architectures. Notably, his work on omnidirectional robots learning to compensate for motor failures and driving inaccuracies through anticipation highlights a practical, resilience-focused approach to robot locomotion. Simon also contributed to calibration pipelines and 3D trajectory reconstruction from single cameras, rounding out a research profile defined by bridging theoretical robotics with real-world, competitive deployment.
Research Focus
Key Achievements
Top Papers
- 1Predicting Away Robot Control Latency48 citations · 2004
- 2Robust Real Time Color Tracking42 citations · 2001
- 3Using Hierarchical Dynamical Systems to Control Reactive Behavior26 citations · 2000
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- 7FU-Fighters Small Size 20044 citations · 2004
- 8FU-Fighters Team Description3 citations · 2000