Papers

5

Total Citations

27

H-Index

3

About

Changqi Zhang is pioneering the intersection of haptic robotics and rehabilitation engineering, with a focused mission to restore independence for neurologically impaired individuals through intelligent robot-assisted therapy. His core research areas span parallel mechanism design, haptic rendering, and adaptive control systems for task-oriented training. Zhang’s most impactful contribution is a unified switching control framework (2023, 13 citations) that dynamically adapts a robot’s role and training difficulty in response to a patient’s fluctuating condition—a critical advancement for continuous, personalized rehabilitation. He has also developed innovative haptic solutions for instrumental activities of daily living (IADLs), such as his work on robot-assisted nail hammering (2023, 8 citations), which demonstrates how haptic feedback can accelerate motor learning for real-world tasks. His engineering ingenuity is evident in the design of a reconfigurable asymmetric 6-DOF haptic robot (2021) and a portable cable-driven haptic robot (2023) that balances free motion with hard-contact rendering, pushing toward home-use viability. Most recently, Zhang introduced the SCPR parallel robot (2025), a slider-crank-inspired mechanism achieving high orientation capability without parasitic motion. With a growing citation footprint, Zhang is establishing himself as a key architect of next-generation, task-specific haptic robots that bridge the gap between clinical therapy and independent living.

Research Focus

Key Achievements

3
H-Index
5
Papers
27
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Unified Switching Control Framework for Continuous Robot-Assisted Training
13 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Southern University of Science and Technology, Sinopec (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago