Zukhairi Mohd Yusof

University of Kuala Lumpur

Papers

1

Total Citations

59

H-Index

1

About

Dr. Zukhairi Mohd Yusof is a leading figure in rehabilitation robotics and intelligent control systems, with a primary focus on developing advanced assistive technologies for upper limb therapy. His most cited work, "Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot" (2019, 59 citations), introduces a nature-inspired meta-heuristic optimization technique for tuning PID controllers in the RAX-1—a two-degree-of-freedom robotic arm exoskeleton. This contribution significantly enhances the precision and adaptability of robotic rehabilitation, enabling smoother, more responsive patient-robot interactions. Dr. Yusof’s research bridges the gap between bio-inspired algorithms and practical mechatronic design, directly impacting the efficacy of motor recovery therapies. His work has been widely recognized, with this paper alone garnering substantial citations, reflecting its influence on both academic research and clinical applications. By advancing control strategies for rehabilitation robots, Dr. Yusof is helping to shape the future of personalized, automated physical therapy, making him a key contributor to the intersection of robotics, control engineering, and healthcare innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
59
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Optimized Proportional-Integral-Derivative Controller for Upper Limb Rehabilitation Robot
59 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Kuala Lumpur

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago