Andrew J. Gunnell
Papers
1
Total Citations
24
H-Index
1
About
Andrew J. Gunnell is a leading researcher in the field of human-robot interaction, with a primary focus on the biomechanics and neural control of locomotion. His key research areas include the development and refinement of robotic exoskeletons, electromyography (EMG)-based control algorithms, and the study of how the human nervous system adapts to assistive technologies. Gunnell’s major contribution lies in demonstrating that EMG-driven torque predictions remain robust even when exoskeleton assistance causes non-linear reorganization of locomotor output. This work, published in 2021 and garnering 24 citations, challenges the assumption that muscle activation patterns remain stable under assistance, paving the way for more adaptive and effective exoskeleton controllers. By showing that EMG can reliably estimate user intent across varying levels of robotic support, Gunnell has advanced the practical application of powered orthoses for rehabilitation and mobility augmentation. His research is instrumental in bridging the gap between neural signals and machine assistance, promising safer and more intuitive devices for individuals with gait impairments.
Research Focus
Key Achievements
Top Papers
- 1