Fumin Guo
Papers
1
Total Citations
11
H-Index
1
About
Fumin Guo is a leading researcher in rehabilitation robotics, with a primary focus on upper extremity exoskeleton systems and intelligent motion planning. His most cited work, "Isokinetic Rehabilitation Trajectory Planning of an Upper Extremity Exoskeleton Rehabilitation Robot Based on a Multistrategy Improved Whale Optimization Algorithm" (2023, 11 citations), introduces a novel multistrategy improved whale optimization algorithm (MWOA) that significantly enhances trajectory planning for rehabilitation robots. This contribution addresses a critical challenge in patient recovery by enabling smoother, more adaptive, and isokinetic motion paths, which are essential for effective therapy. Guo’s research bridges the gap between advanced optimization techniques and practical rehabilitation engineering, demonstrating how bio-inspired algorithms can be tailored for medical robotics. His work has garnered attention for its potential to improve the precision and personalization of robotic-assisted therapy, offering new avenues for stroke and injury rehabilitation. By integrating computational intelligence with mechanical design, Guo is helping to shape the future of assistive technologies, making rehabilitation more efficient and accessible for patients worldwide.
Research Focus
Key Achievements
Top Papers
- 1