Haozhen Chi
Papers
7
Total Citations
102
H-Index
5
About
Haozhen Chi is a robotics researcher whose work sits at the intersection of bio-inspired design, adaptive control, and soft robotics. His primary research areas include locomotion control for multi-legged robots, rehabilitation robotics, and soft crawling robots. Chi’s most impactful contribution is his work on adaptive locomotion control for hexapod robots using bio-inspired Central Pattern Generator (CPG) networks, which has garnered 55 citations. He has also made significant strides in rehabilitation robotics, developing a robotic device driven by antagonistic soft actuators for stroke therapy (17 citations), and in motion control for soft crawling robots using iterative learning control (12 citations). His recent work includes a hybrid quadruped-quadrotor robot capable of multimodal terrestrial and aerial motion (7 citations) and a star-nose-inspired bionic soft robot for nonvisual spatial detection (4 citations). Chi’s research demonstrates a consistent focus on translating biological principles into robotic systems that are adaptive, compliant, and capable of operating in unstructured environments. His work has practical implications for rehabilitation, search-and-rescue, and exploration in confined or dark spaces.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Locomotion Control of a Hexapod Robot via Bio-Inspired Learning55 citations · 2021
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- 4Motion Control of a Hybrid Quadruped-Quadrotor Robot7 citations · 2024
- 5Adaptive Locomotion Generation for a Bionic Hexapod Robot5 citations · 2019
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