Dominic J. Farris
Papers
7
Total Citations
179
H-Index
5
About
Dominic J. Farris is a biomechanics researcher whose work sits at the productive intersection of human locomotion science and wearable robotic technology. His research focuses principally on lower-limb exoskeleton design, muscle-tendon dynamics, and the joint-level mechanics of walking and running across varied conditions. Farris has made significant contributions to understanding how humans adapt their gait during challenging locomotor tasks — such as inclined terrain and accelerative movement — and has translated these biological insights into evidence-based principles for exoskeleton development. His most influential work, examining the mechanics of walking and running uphill and downhill from a joint-level perspective (2020, 90 citations), has become a key reference for researchers designing assistive lower-limb devices intended for real-world use. His earlier modeling work on elastic exoskeleton compliance and ankle muscle-tendon dynamics (2014, 38 citations) helped establish computational frameworks that reduce the trial-and-error burden of device prototyping. More recently, Farris has extended his research into machine learning-based activity classification for exoskeleton control and the neuromuscular effects of passive ankle exoskeletons during balance tasks. Collectively, his body of work bridges fundamental movement science with applied robotics, offering valuable guidance for clinicians, engineers, and rehabilitation specialists alike.
Research Focus
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Top Papers
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