Michiel De Roeck
Papers
1
Total Citations
2
H-Index
1
About
Michiel De Roeck is a rising researcher in robotics and control systems, with a focus on low-cost, vision-based embedded control for robotic manipulators. His most cited work, "Low-cost vision-based embedded control of a 2DOF robotic manipulator" (2023), addresses a critical gap in the field: the need to validate underactuated control strategies—often tested only in simulation—on real mechanical setups. By developing an affordable, vision-driven control system for the classic planar two-link manipulator benchmark, De Roeck bridges theory and practice, enabling more accessible experimental validation of advanced control algorithms. Though his citation count is still growing, his work is notable for its practical emphasis on reducing barriers to hardware experimentation, a key step for advancing underactuated robotics. This contribution positions him as a promising figure in embedded control and robotic benchmarking, with potential to influence both educational and research-oriented robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Low-cost vision-based embedded control of a 2DOF robotic manipulator2 citations · 2023