Harald Teufell
Papers
1
Total Citations
19
H-Index
1
About
Harald Teufell is a leading figure in advanced robotics and motion simulation, with a primary focus on real-time control systems for high-degree-of-freedom serial robots. His most cited work, "Real-Time Nonlinear Model Predictive Control of a Motion Simulator Based on a 8-DOF Serial Robot" (2018, 19 citations), presents a groundbreaking implementation of a nonlinear model predictive controller (MPC) that simultaneously reproduces six reference signals—linear accelerations and angular velocities—in real time. This contribution addresses a critical challenge in motion cueing: achieving accurate, synchronized multi-axis motion without latency. Teufell’s research bridges the gap between theoretical control algorithms and practical hardware constraints, enabling safer, more immersive simulation environments for applications ranging from driver training to aerospace testing. His work is distinguished by its emphasis on computational efficiency and robustness, making complex MPC viable for real-time deployment. With a growing citation impact, Teufell is recognized for pushing the boundaries of robot-based motion platforms, and his achievements underscore a commitment to transforming how dynamic systems are controlled in high-stakes, real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1