Mathias Trampler
Papers
3
Total Citations
152
H-Index
2
About
Mathias Trampler is a leading researcher at the intersection of robotics, human-robot collaboration, and rehabilitation engineering. His work focuses on developing intelligent, sensor-driven robotic systems that can safely and effectively interact with humans in both industrial and clinical settings. Trampler’s major contributions include pioneering whole-body control strategies that integrate multimodal sensor feedback—such as vision, force, and tactile data—to enable seamless human-robot collaboration in manufacturing environments, a concept detailed in his highly cited 2017 paper (83 citations). He is also a key figure in neurorehabilitation robotics, having co-designed the Recupera exoskeleton, a modular, dual-arm system for post-stroke therapy. His 2019 paper on this exoskeleton (67 citations) introduced decentralized control architectures that allow for both therapist-guided and self-training sessions, significantly advancing robot-assisted motor recovery. More recently, Trampler has explored the use of error-related potentials (ErrPs) from EEG signals to enable asynchronous, brain-robot communication, a promising step toward more intuitive and adaptive human-robot interfaces. His work is widely recognized for bridging the gap between robust industrial automation and responsive, patient-centered rehabilitation technology.
Research Focus
Key Achievements
Top Papers
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