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Jens Krzywinski

3 accepted papers

2022

EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation

RA-L 2022

In the field of rehabilitation robotics, transparent, precise and intuitive control of hand exoskeletons still represents a substantial challenge. In particular, the use of compliant systems often leads to a trade-off between lightness and material flexibility, and control precision. In this letter,

Cited by 49SourceScholar
2022

Rigid, Soft, Passive, and Active: A Hybrid Occupational Exoskeleton for Bimanual Multijoint Assistance

RA-L 2022

Physically demanding work is still common in western countries, with large proportions of the workforce that are exposed for more than a quarter of their working time to tiring postures or repetitive tasks: the shoulder is one of the main body areas susceptible to work-related musculo-skeletal disor

Cited by 38SourceScholar
2022

Underactuated Soft Hip Exosuit Based on Adaptive Oscillators to Assist Human Locomotion

RA-L 2022

Reproducing the mechanisms of human locomotion is a hard challenge. Assistive wearable devices in this context need to be lightweight, portable, and to adapt to the wearer’s walking pattern. Aiming to combine the aforementioned features, we developed a soft wearable exosuit to assist hip flexion dur

Cited by 49SourceScholar