Peixuan Wang
Papers
1
Total Citations
3
H-Index
1
About
Peixuan Wang is a robotics researcher whose work centers on the intersection of mechanical design, motion control, and machine learning for autonomous ground vehicles. His most notable contribution is the development of a highly maneuverable ground reconnaissance robot, detailed in his 2018 paper, which integrates Mecanum wheels with double wishbone independent suspension for superior mobility in complex terrains. By combining this innovative mechanical system with advanced motion control algorithms and image processing programs, Wang has advanced the practical deployment of robots for surveillance and reconnaissance tasks. Though his highly cited work has garnered 3 citations to date, it represents a foundational step in applying machine learning to enhance real-time navigation and obstacle avoidance in compact robotic platforms. Wang’s research is particularly relevant for students and engineers interested in field robotics, offering a blueprint for balancing mechanical robustness with intelligent control. His ongoing efforts continue to push the boundaries of how small-scale robots can operate with agility and autonomy in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1