Jirui Fu

University of Central Florida

Papers

3

Total Citations

68

H-Index

2

About

Jirui Fu is a robotics researcher whose work sits at the intersection of wearable assistive technologies and multi-robot cooperative control. Their primary research areas include myoelectric control systems for upper limb exoskeletons and exosuits, cable-driven wearable robots, and model predictive control for cooperative mobile robots. Fu’s most impactful contribution is a comprehensive systematic review on myoelectric control systems for upper limb wearable robotic exoskeletons and exosuits, which has garnered 60 citations since 2022. This work provides a critical synthesis of how electromyographic signals can be used to restore motor functions in individuals with disabilities and augment human performance in able-bodied users. Fu has also designed a bilateral six-degree-of-freedom cable-driven upper body exosuit, a notable achievement in bimanual task assistance with multiple controlled degrees of freedom—an area where few devices have succeeded. More recently, Fu developed a constrained model predictive controller for two cooperative tripod mobile robots, enabling them to transport objects along predefined trajectories despite external disturbances. This work demonstrates Fu’s versatility across both human-centered robotics and autonomous multi-robot systems. With a growing citation record and contributions spanning systematic reviews to novel hardware and control algorithms, Fu is establishing themselves as a researcher capable of bridging fundamental control theory with practical assistive robotics applications.

Research Focus

Key Achievements

2
H-Index
3
Papers
68
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Myoelectric Control Systems for Upper Limb Wearable Robotic Exoskeletons and Exosuits—A Systematic Review
60 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Central Florida

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago