A Gradient-Descent-Based Null Space Planner for Dexterity Optimization during Upper-Limb Robot-Mediated Rehabilitation
Null-space planning work for maintaining dexterity during upper-limb robot-mediated rehabilitation.
Current Focus
Developing sensing-driven rehabilitation robot systems that measure muscle engagement during multi-axis upper-limb tasks.
Studying how robot-mediated interfaces and adaptive control can support healthier movement practice after neurological injury.
Exploring social robot augmented telepresence for broader access to rehabilitation care.
Selected Research
Null-space planning work for maintaining dexterity during upper-limb robot-mediated rehabilitation.
Analysis of healthy and post-stroke neuromotor behavior during 6D isometric trajectory tracking with an end-effector rehabilitation robot.
OpenRobotRehab platform work for measuring muscle engagement during 6D upper-limb trajectory tracking tasks.
Code
Repository work, research code, and project artifacts live on GitHub.
github.com/ajyanand