Zhengyi Yuan
Papers
1
Total Citations
3
H-Index
1
About
Zhengyi Yuan is a robotics researcher whose work centers on intelligent motion planning and obstacle avoidance in dynamic, adversarial environments. His key research areas include robot simulation, autonomous navigation, and the application of the Robot Operating System (ROS) in real-time control systems. Yuan’s most notable contribution is his 2022 study, "Simulation and Implementation of Robot Obstacle Avoidance Algorithm on ROS," which addresses a critical challenge in robotic soccer: preventing collisions that disrupt motion trajectories and hinder ball grasping and defense. By focusing on obstacles that are dynamic, antagonistic, and uncertain, he developed algorithms that enhance robot responsiveness and strategic positioning. Though his citation count is currently modest, his work has practical implications for competitive robotics and autonomous systems operating in unpredictable settings. Yuan’s research bridges simulation and real-world implementation, offering valuable insights for students and engineers working on ROS-based navigation. His achievements highlight the importance of robust obstacle avoidance in advancing robot autonomy, particularly in high-stakes, interactive environments like robotic sports.
Research Focus
Key Achievements
Top Papers
- 1