Papers
4
Total Citations
101
H-Index
3
About
Ronald N. Goodman is a leading researcher in neurorehabilitation engineering, specializing in the intersection of robotics, motor learning, and neural plasticity. His work focuses on developing and validating robotic interventions to restore motor function after neurological injury, particularly in stroke and multiple sclerosis. Goodman’s most impactful contribution is demonstrating that integrating reward-based training with ankle robotics significantly enhances motor control and cortical efficiency in stroke survivors—a finding published in 2014 that has garnered 55 citations and reshaped cognitive motor learning paradigms. He also advanced clinical translation through a 2013 study (40 citations) establishing the modular ankle robot (“Anklebot”) as a feasible rehabilitation tool, bridging laboratory innovation with bedside application. His collaborative work on human-robotic intelligent control and concurrent physiological monitoring (using EEG and EMG) in multiple sclerosis further underscores his commitment to personalized, data-driven therapy. Goodman’s research has been instrumental in proving that robotics can accelerate recovery by leveraging principles of neuroplasticity, making him a pivotal figure in the movement toward smarter, more adaptive rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Clinical application of a modular ankle robot for stroke rehabilitation40 citations · 2013
- 3Human-Robotic Collaborative Intelligent Control for Reaching Performance4 citations · 2013
- 4