Shuhao Ma
Papers
3
Total Citations
8
H-Index
2
About
Shuhao Ma is a rising researcher at the intersection of rehabilitation robotics and intelligent control systems. His primary research areas include adaptive impedance control, musculoskeletal modeling, and the integration of robotic process automation with artificial intelligence. Ma’s major contributions lie in resolving the fundamental conflict between system compliance and control accuracy in rehabilitation robots. His most cited work, "Musculoskeletal Model-Based Adaptive Variable Impedance Control With Flexible Prescribed Performance for Rehabilitation Robots" (2025, 5 citations), introduces a novel framework that dynamically adjusts robotic stiffness to balance safety and precision during patient therapy. Building on this, his neuro-fuzzy musculoskeletal model-driven approach enables personalized assist-as-needed control, adapting in real-time to individual patients’ motor capabilities—a critical advancement for effective recovery. Beyond rehabilitation, Ma has explored the synergy between Robotic Process Automation and AI, reviewing their combined potential for high-precision, long-duration automation tasks. With a publication record already demonstrating impact in 2025, Ma’s work is shaping the future of human-robot interaction, particularly in medical and industrial settings where adaptive, intelligent control is paramount.
Research Focus
Key Achievements
Top Papers
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