Rajiv Ranganathan
Shirley Ryan AbilityLab, Northwestern University, Michigan State University, Michigan United
Papers
8
Total Citations
219
H-Index
6
About
Rajiv Ranganathan is a rehabilitation engineer and motor learning researcher whose work sits at the intersection of robotics, assistive technology, and neurological recovery. He is best known for his pioneering contributions to robot-aided rehabilitation, demonstrating that active engagement strategies in robotic training can meaningfully improve locomotor function in stroke survivors — work that has garnered nearly 80 citations and challenged prevailing assumptions about guidance-based control in clinical robotics. His research extends into body-machine interfaces, where he has developed innovative non-invasive systems that allow children with severe motor impairments to control assistive devices through upper body movements, addressing a critical gap left by brain-machine interfaces unsuitable for pediatric populations. Ranganathan has also advanced our understanding of motor learning itself, exploring how exploratory muscle activity during gait learning operates independently of established motor module frameworks. More recently, he has investigated age-dependent differences in how children learn to operate robotic systems and pioneered semi-passive robotic platforms designed to facilitate skill acquisition without fully active motors. With a publication record spanning clinical trials, pediatric assistive technology, and fundamental motor neuroscience, Ranganathan's work offers both theoretical insight and tangible tools for improving quality of life in individuals with neurological and physical disabilities.
Research Focus
Key Achievements
Top Papers
- 1Active robotic training improves locomotor function in a stroke survivor79 citations · 2012
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