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About

Jens Krzywinski is a leading researcher at the intersection of rehabilitation robotics, haptic feedback, and human-machine interaction. His work focuses on developing intuitive, compliant exoskeletons and telemanipulation systems that bridge the gap between lightweight design and precise control. Krzywinski’s most impactful contribution is his 2022 study on EMG-driven machine learning control of a soft glove for grasping assistance and rehabilitation, which has garnered 70 citations. This work addresses the critical challenge of achieving transparent, accurate control in soft robotic systems, advancing assistive technologies for individuals with motor impairments. He also explores the role of demonstrators in interdisciplinary communication, as seen in his 2023 paper on design for communication, which highlights how tangible prototypes can facilitate collaboration across fields. His recent 2024 work on a tendon-driven haptic glove for force feedback telemanipulation further underscores his commitment to enhancing dexterity and sensory feedback in remote robotic control. Krzywinski’s research not only pushes the boundaries of soft robotics and haptics but also emphasizes the importance of user-centered design and cross-disciplinary dialogue, making him a key figure in modern rehabilitation and teleoperation technologies.