Papers
2
Total Citations
10
H-Index
2
About
Dr. Zhicheng Feng is a robotics researcher whose work bridges autonomous navigation and novel locomotion mechanisms. His primary research areas include intelligent robotic systems, path planning, and bio-inspired sliding locomotion. Dr. Feng’s most impactful contribution is his work on an intelligent disinfection-vehicle system, which integrates ROS (Robot Operating System) as a control platform and SLAM (Simultaneous Localization and Mapping) technology for indoor scene mapping and global path planning. This paper, published in 2023, has already garnered 8 citations, highlighting its relevance in the post-pandemic push for autonomous sanitation solutions. In parallel, Dr. Feng has explored the frontiers of unconventional robotics with his study on an arc-shaped sliding locomotion robot that uses a wobbling mass for propulsion. This work addresses the challenge of achieving stable, efficient movement on slippery surfaces—a problem that has stymied real-world deployment of such robots despite promising simulations. By modeling and optimizing this system, Dr. Feng contributes to the practical realization of indirectly controlled sliding robots. His dual focus on applied autonomous systems and foundational locomotion research demonstrates a versatile engineering mindset, making his work valuable for students and researchers interested in both practical robotics and theoretical mechanics.
Research Focus
Key Achievements
Top Papers
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