Xiyan Sun
Papers
1
Total Citations
4
H-Index
1
About
Dr. Xiyan Sun is a robotics researcher whose work centers on advancing autonomous navigation through improved path planning algorithms. Their most cited contribution, the 2022 paper "Implementation of IMRRT Path Planning Algorithm for Mobile Robot," tackles a fundamental challenge in mobile robotics: enhancing the efficiency and reliability of the Rapidly-exploring Random Tree (RRT) algorithm. While RRT is valued for its robust search capabilities and simplicity, Dr. Sun identified its critical weaknesses—excessive randomness and low search efficiency—which often produce suboptimal, meandering paths. By introducing the Improved RRT (IMRRT) algorithm, they developed a more deterministic and computationally efficient approach, significantly reducing path length and search time for mobile robots operating in complex environments. This work, with 4 citations, has provided a practical foundation for researchers seeking to deploy robots in real-world settings where rapid, smooth navigation is essential. Dr. Sun’s contributions sit at the intersection of algorithm optimization and applied robotics, offering tangible improvements that bridge theoretical path planning with hardware implementation. Their research continues to influence the development of smarter, more responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Implementation of IMRRT Path Planning Algorithm for Mobile Robot4 citations · 2022