Yuanhong Zhong
Papers
2
Total Citations
61
H-Index
2
About
Yuanhong Zhong is a leading researcher in bio-inspired robotics and autonomous motion planning, with a focus on legged locomotion and intelligent vehicle navigation. Their major contributions include pioneering work on Central Pattern Generator (CPG)-based gait generation for hexapod robots, particularly the curved-leg design that enables smooth transitions between multiple gaits—a critical advancement for adaptive, energy-efficient robotic movement. This foundational 2019 paper has garnered 47 citations, reflecting its impact on the field of legged robotics. Zhong has also advanced autonomous driving technology through the development of a hybrid potential field model for online on-road motion planning of car-like robots, addressing real-time collision avoidance and path optimization in dynamic environments, as detailed in their 2022 work with 14 citations. Their research bridges fundamental biomechanics and practical robotics, offering solutions for seamless gait adaptation and safe autonomous navigation. Zhong’s work is essential reading for those interested in bio-inspired control systems, multi-modal locomotion, and real-time motion planning for mobile robots.
Research Focus
Key Achievements
Top Papers
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