Papers
70
Total Citations
3,179
H-Index
29
About
James L. Patton is a pioneering biomedical engineer and neuroscientist whose research sits at the intersection of robotics, motor learning, and neurorehabilitation. Best known for his foundational work on error augmentation — the counterintuitive strategy of deliberately amplifying movement errors to accelerate neurological recovery — Patton has fundamentally reshaped how clinicians and engineers think about robot-assisted therapy after stroke. His 2005 study evaluating robotic training forces in hemiparetic stroke survivors has garnered over 470 citations, establishing a landmark framework for understanding how assistive and challenging forces differentially influence motor relearning. Patton also contributed to the development of the KineAssist, an innovative robotic device enabling safe yet challenging overground gait and balance training, reflected in two highly cited publications totaling over 300 citations. His broader theoretical contributions, including work on custom haptic force fields and adaptive training algorithms, have helped define the computational principles underlying robot-mediated therapy. With over 1,800 citations across his top ten papers alone and contributions spanning robotic actuator design to clinical trials, Patton's work continues to guide researchers and clinicians seeking to harness technology for meaningful neurological recovery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3KineAssist: A Robotic Overground Gait and Balance Training Device154 citations · 2005
- 4Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke148 citations · 2013
- 5
- 6Challenges and Opportunities for Robot-Mediated Neurorehabilitation140 citations · 2006
- 7Can Robots Help the Learning of Skilled Actions?134 citations · 2008
- 8
- 9
- 10Custom-designed haptic training for restoring reaching ability110 citations · 2006