Stefan Schwab
Papers
5
Total Citations
38
H-Index
4
About
Stefan Schwab is a leading researcher in the field of autonomous mobile robotics and heavy vehicle-manipulator systems, with a focus on advanced control and trajectory optimization. His work bridges the gap between full automation and human operation, particularly for large, hydraulically actuated vehicle-manipulators used in unstructured on- and off-road environments. Schwab’s major contributions include the development of a novel model predictive control (MPC) framework that operates within a local reference coordinate system, enabling precise trajectory tracking for these complex systems. His most cited paper (2019, 22 citations) lays the groundwork for this approach. He has also pioneered cooperative shared-control concepts, experimentally validating methods that reduce operator cognitive load while maintaining human oversight, as detailed in his 2020 works (5 citations each). More recently, Schwab has extended his expertise to multi-robot coordination, employing game-theoretic planning to resolve intersection and collision scenarios among homogeneous and heterogeneous mobile robots (2023, 4 citations; 2025, 2 citations). His research is instrumental in enabling the flexible, autonomous factories of the future, where robots navigate safely in shared, dynamic spaces.
Research Focus
Key Achievements
Top Papers
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- 3Limited-Information Cooperative Shared Control for Vehicle-Manipulators5 citations · 2020
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