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About

Adrian Raisch is a leading researcher in the emerging field of soft robotics, with a specific focus on the modeling, control, and human-robot collaboration of continuum manipulators. His work addresses the fundamental challenge of controlling these inherently compliant, pneumatic-driven robots, which are uniquely suited for safe human-machine interaction. Raisch’s major contributions include developing a nonlinear model-based dynamic control strategy for quasi-continuum manipulators, a concept that has garnered 18 citations and represents a cornerstone of his research. He has also pioneered a demonstration-based programming method that leverages the robot’s own deformations as a haptic interface, allowing users to intuitively teach multi-point trajectories without complex programming. Further advancing the field, Raisch has introduced a model-based cascaded control concept for the Bionic Motion Robot and a model-predictive reference trajectory planning approach for redundant pneumatic collaborative robots. His work is notable for bridging the gap between theoretical modeling and practical, user-friendly control, making soft robots more accessible for real-world collaborative tasks.