Yicheng Sun

Zhejiang University of Science and Technology

Papers

Total Citations

H-Index

About

Yicheng Sun is a robotics researcher whose work centers on autonomous navigation and intelligent path planning for mobile robots. Sun has made notable contributions to the development of hybrid path planning algorithms, particularly through the fusion of classical global planning methods with dynamic local obstacle avoidance techniques. His most recognized work, "Research on a Random Route-Planning Method Based on the Fusion of the A* Algorithm and Dynamic Window Method" (2022), has accumulated 23 citations and addresses one of the central challenges in mobile robotics: optimizing multi-path planning within rasterized environments while ensuring reliable real-time barrier avoidance. Building on this foundation, Sun also contributed a complementary study presenting an improved A* algorithm integrated with the Dynamic Window Approach to satisfy both global optimality and real-time responsiveness in automated robot systems. Together, these works reflect Sun's focus on bridging theoretical algorithmic improvements with practical autonomous robotics applications. As the market for automated robots continues to expand, Sun's research provides meaningful advances in making mobile robots more efficient, adaptive, and reliable in complex environments, positioning him as an emerging contributor to the field of intelligent robotic systems.