Papers

2

Total Citations

10

H-Index

2

About

Zhicheng Yuan is a robotics researcher whose work focuses on advancing locomotion and path planning for unconventional robotic systems operating in complex environments. His key research areas include wheel-legged planetary rovers, spherical robots, and probabilistic motion planning. Yuan’s major contributions lie in developing integrated planning frameworks that combine offline motion libraries with online path planning, specifically addressing the challenges of dense, unstructured terrains. His 2025 paper on probabilistic path planning for wheel-legged rovers, which has already garnered 7 citations, introduces an extended Markov decision process (MDP) and configuration topology analysis to optimize energy consumption and account for system uncertainty—a critical step toward autonomous planetary exploration. In his 2023 work on spherical robots, Yuan proposed a novel composite driving principle using both a pendulum and momentum wheels, enabling superior maneuverability and obstacle surmounting compared to single-drive designs. With his innovative approaches to robot design and control, Yuan is establishing himself as a rising figure in field robotics, pushing the boundaries of how machines can navigate and adapt to challenging real-world environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Probabilistic Path Planning for Wheel-Legged Rover in Dense Environment Based on Extended MDP and Configuration Topology Analysis
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Shanghai Jiao Tong University, Beijing Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago