About

Qiushi Fu is a leading researcher in the fields of soft robotics, haptic interaction, and human motor control, with a particular focus on hand function and rehabilitation. His major contributions include the development of the SoftHand-Pro, a soft synergy-inspired myoelectric prosthetic hand that improves fine control of grasping force, and a soft robotic haptic interface with variable stiffness for rehabilitating neurologically impaired hands—works that have garnered 36 and 24 citations, respectively. Fu has also advanced understanding of physical coordination in dyadic object manipulation, exploring how leader-follower relationships emerge through haptic interactions, a study with 20 citations. His earlier work on articulated wheeled robots, such as the ROAMeR platform, demonstrates his versatility in reconfigurable locomotion systems. Notably, his research on human reach-to-grasp compensation under object pose uncertainty and cortical neural activity during mechanical perturbations highlights his interdisciplinary approach, bridging engineering and neuroscience. With over 140 citations across his top papers, Fu’s work is highly impactful, offering practical solutions for prosthetics, rehabilitation, and human-robot interaction, making him a key figure in advancing assistive technologies and sensorimotor science.

Research Focus

Key Achievements

7
H-Index
11
Papers
147
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Improving Fine Control of Grasping Force during Hand–Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand
36 citations · 2018
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of Central Florida, Arizona State University, University at Buffalo, State University of New York

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago