Papers
13
Total Citations
730
H-Index
11
About
Paul Stegall is a leading researcher in rehabilitation robotics, specializing in the design and control of powered exoskeletons for lower-extremity gait training. His work focuses on addressing critical challenges in human-robot interaction, particularly knee joint misalignment and transparency, to ensure safe and effective therapy. Stegall’s major contributions include pioneering the "assist-as-needed" (AAN) paradigm, which encourages active patient participation during robot-aided gait training, significantly improving walking function in individuals following stroke. His highly cited papers—such as "Knee Joint Misalignment in Exoskeletons" (177 citations) and "Assist-as-Needed Robot-Aided Gait Training" (171 citations)—demonstrate substantial impact in the field. Stegall also led the development of ALEX III, a novel 12-degree-of-freedom robotic platform that enables precise control of pelvic and leg movements, advancing the understanding of how exoskeleton design affects human adaptation to new gait templates. His work on force/torque sensors and variable damping force tunnels has further enhanced exoskeleton transparency and training quality. With over 700 total citations, Stegall’s research continues to shape the future of rehabilitation robotics, offering innovative solutions for improving mobility and quality of life for individuals with neurological impairments.
Research Focus
Key Achievements
Top Papers
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- 6ALEX III: A novel robotic platform with 12 DOFs for human gait training50 citations · 2013
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- 8Variable Damping Force Tunnel for Gait Training Using ALEX III24 citations · 2017
- 9Assessment of a powered ankle exoskeleton on human stability and balance24 citations · 2022
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