Papers
8
Total Citations
415
H-Index
6
About
Andrew Pennycott’s research lies at the vital intersection of rehabilitation robotics, biomechanics, and exercise physiology, with a core focus on restoring walking function after neurological injury. His major contributions include pioneering work on robotic gait training for stroke rehabilitation, where his highly cited review (275 citations) established a foundational framework for more effective robot-driven therapy. Pennycott also advanced the understanding of balance control during walking, demonstrating how added inertia and body weight support affect lateral stability—critical insights for designing safer, more functional gait orthoses. A hallmark of his work is the innovative application of control theory to exercise: he developed feedback-control systems that regulate oxygen uptake and work rate during robot-assisted gait, enabling precise cardiopulmonary training and assessment for individuals with incomplete spinal cord injury. This integration of real-time physiological control with robotic assistance is a notable achievement, bridging rehabilitation and aerobic conditioning. Throughout his career, Pennycott has systematically addressed the engineering challenges of body weight support systems, from lateral force control to overground training devices, consistently aiming to make robotic gait therapy more adaptive, effective, and clinically translatable.
Research Focus
Key Achievements
Top Papers
- 1Towards more effective robotic gait training for stroke rehabilitation: a review275 citations · 2012
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- 5Feedback Control of Oxygen Uptake During Robot-Assisted Gait22 citations · 2009
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- 7Body Weight Support Devices for Overground Gait and Balance Training4 citations · 2022
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