Zhongjian Sun
Papers
1
Total Citations
1
H-Index
1
About
Zhongjian Sun is a robotics researcher whose work bridges simulation and autonomous navigation, with a focus on applying mobile robotic platforms to real-world driving challenges. His key research areas include self-driving car simulation, sensor-based obstacle avoidance, and autonomous navigation systems. Sun’s most notable contribution is his pioneering work on the Pioneer P3-DX robot, where he successfully demonstrated how a mobile robot can simulate self-driving car behavior from a start point to a target destination. By integrating Hokuyo laser sensors with gmapping and navigation packages, he achieved robust auto-navigation and obstacle avoidance—a foundational step toward practical autonomous driving. His paper, “Pioneer P3-DX Robot to Achieve Self Driving Car” (2018), has garnered 1 citation, reflecting early interest in his approach. Sun also incorporated color detection functionality into the Pioneer P3-DX, expanding its perception capabilities. His work is particularly valuable for students and researchers exploring low-cost, scalable platforms for autonomous vehicle research, offering a reproducible framework for testing navigation algorithms in simulated environments.
Research Focus
Key Achievements
Top Papers
- 1Pioneer P3-DX Robot to Achieve Self Driving Car1 citations · 2018