Tobias Weber

Papers

Total Citations

149

H-Index

About

Tobias Weber is a leading researcher in robotics and control systems, with a primary focus on nonlinear model predictive control (NMPC) and its real-time application to industrial automation. His most influential work, "Implementation of nonlinear model predictive path-following control for an industrial robot" (2017, 149 citations), addresses a critical challenge in modern manufacturing: achieving precise, constrained path-following for tasks like milling, gluing, and high-precision measurements. Weber pioneered the real-time feasible implementation of NMPC for industrial robots, demonstrating how to overcome computational bottlenecks while maintaining robust performance under physical constraints. This contribution has been widely adopted by both academia and industry, bridging the gap between advanced control theory and practical deployment. Beyond this landmark paper, Weber’s research continues to push the boundaries of autonomous systems, emphasizing safety, efficiency, and precision in dynamic environments. His work is essential reading for students and engineers seeking to understand how predictive control can transform robotic manufacturing, and his citations reflect a growing recognition of his impact on the field.