Chengkun Zhang

University of Delaware

Papers

3

Total Citations

14

H-Index

2

About

Chengkun Zhang is a robotics researcher whose work spans humanoid robotics, bio-inspired flight, and rehabilitation technology. His research focuses on developing mechanical systems that enhance human-robot interaction (HRI) and assistive care. Zhang’s most notable contribution is the design of a hybrid humanoid robotic head mechanism for healthcare robots, which integrates motion and perception capabilities for object tracking—a critical feature for elderly care applications (7 citations). Earlier, he investigated the aerodynamic performance of flapping wings, exploring how aspect ratio and flexibility affect efficiency, directly informing the design of Flapping Wing Micro Air Vehicles (FWMAVs) (5 citations). Most recently, Zhang introduced GARD, a low-cost, non-backdrivable end-effector device for upper limb rehabilitation in stroke patients, featuring novel motor velocity-control algorithms that deliver precise assistance along 2D trajectories (2 citations). His work bridges foundational biomechanics with practical, accessible robotic solutions, demonstrating impact across healthcare robotics, micro air vehicles, and rehabilitation engineering.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Humanoid Robotic Head Mechanism: Design, Modeling, and Experiments with Object Tracking
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Delaware

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago