Jan Reinhold
Papers
5
Total Citations
48
H-Index
3
About
Jan Reinhold is a robotics researcher whose work focuses on the intersection of industrial automation and medical robotics, with key contributions in trajectory planning, motion control, and human-robot interaction. His most cited paper (26 citations) presents a dynamic optimization approach for sloshing-free transport of liquid-filled containers using industrial robots, addressing a critical challenge in manufacturing where liquid oscillation during point-to-point motion must be eliminated through time-optimal trajectory planning. Reinhold has advanced nonlinear model predictive control (NMPC) for manipulators, developing a constrained-differential-kinematics-decomposition approach that reduces computational costs while maintaining flexibility for varying environments. In medical robotics, he has pioneered image-based online command adaptation and guidance for arbitrarily shaped objects, enabling robot-assisted procedures with higher precision. His work on optimal path, orientation, and trajectory planning along arbitrarily shaped surfaces supports image-based robot-automated medical procedures. Reinhold has also contributed to German-language research on robotic assistance and automation in orthopedics and trauma surgery, developing planned and supervised systems for clinical applications. His research demonstrates a systematic approach to bridging industrial optimization techniques with medical robotics, achieving practical solutions for complex motion planning challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5