Andreas Labusch
Papers
2
Total Citations
10
H-Index
2
About
Andreas Labusch is a leading researcher in robotic motion simulation, with a focus on high-dynamic industrial robot platforms for aerospace and safety-critical applications. His key contributions lie in developing optimization methods for worst-case braking trajectories, ensuring that emergency stops in robotic motion simulators—capable of producing extreme accelerations and velocities—do not generate harmful forces. His 2014 paper on this topic, with 7 citations, provides a foundational framework for safety in high-performance simulators. Labusch also advanced aircraft upset recovery training by adapting the German Aerospace Center (DLR)'s Robot Motion Simulator for realistic flight dynamics, as shown in his 2015 study on Fokker 100 upset and recovery simulation (3 citations). This work offers a more accessible alternative to traditional hydraulic hexapod systems, broadening research and training opportunities. By bridging robotics and aerospace engineering, Labusch’s research enhances both simulator safety and practical applications in pilot training, making him a notable figure in motion simulation technology.
Research Focus
Key Achievements
Top Papers
- 1Worst case braking trajectories for robotic motion simulators7 citations · 2014
- 2