Chandramouli Krishnan

About

Chandramouli Krishnan is a prominent rehabilitation engineer and neuroscientist whose research sits at the intersection of robotic rehabilitation, motor learning, and neurological recovery. His work has fundamentally advanced our understanding of how robotic training strategies can be optimized to maximize patient engagement and functional recovery following stroke, spinal cord injury, and cerebral palsy. Krishnan's most influential contributions challenge the conventional wisdom of guidance-based robotic therapy. His seminal 2012 work demonstrating that reduced robotic guidance improves locomotor outcomes in stroke survivors (79 citations) helped reshape clinical approaches to robot-assisted gait training. This theme extends throughout his portfolio, where he consistently advocates for resistance-based and patient-driven control paradigms over passive assistance. Beyond clinical strategy, Krishnan has made rehabilitation technology more accessible. His development of portable passive rehabilitation robots and wearable resistive devices addresses the practical limitations of bulky, expensive systems, while his low-cost webcam-based motion tracking system (70 citations) democratizes gait assessment in resource-limited settings. With multiple papers exceeding 50 citations and a consistent publication record addressing both the science and engineering of rehabilitation, Krishnan's work represents a cohesive and impactful effort to translate neuroscience principles into effective, accessible clinical tools.

Research Focus

Key Achievements

Top Papers

1. 1
   Active robotic training improves locomotor function in a stroke survivor

   79 citations · 2012
2. 2
   A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training

   73 citations · 2018
3. 3
   Reducing Robotic Guidance During Robot-Assisted Gait Training Improves Gait Function: A Case Report on a Stroke Survivor

   73 citations · 2012
4. 4
   A low cost real-time motion tracking approach using webcam technology

   70 citations · 2014
5. 5
   A Pilot Study on the Feasibility of Robot-Aided Leg Motor Training to Facilitate Active Participation

   55 citations · 2013
6. 6
   A Novel Application of Eddy Current Braking for Functional Strength Training During Gait

   36 citations · 2016
7. 7
   Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules

   34 citations · 2016
8. 8
   A wearable resistive robot facilitates locomotor adaptations during gait

   32 citations · 2018
9. 9
   Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology

   28 citations · 2017
10. 10
    Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study

    25 citations · 2018

Key Collaborators

Contact & Links