Zengyuan Liu

Papers

Total Citations

H-Index

About

Dr. Zengyuan Liu is a researcher in mobile robotics and intelligent path planning, with a focus on optimizing navigation algorithms for real-world applications. Their most cited work, "Research on Effective Path Planning Algorithm Based on Improved A* Algorithm" (2022, 19 citations), addresses a critical limitation in traditional A* path planning—excessive turning points that reduce efficiency and increase travel time for mobile robots. By proposing a refined algorithm that smooths trajectories while maintaining optimality, Liu’s contribution directly enhances the autonomy and energy efficiency of robots in dynamic environments. This work has been cited by peers exploring similar improvements in heuristic search and obstacle avoidance, reflecting its practical relevance. Beyond this, Liu’s research spans algorithm optimization and robotic control, aiming to bridge the gap between theoretical path planning and deployable systems. Their work is particularly valuable for students and engineers developing autonomous navigation in logistics, service robotics, and industrial automation. With a growing citation footprint, Liu is establishing a reputation for pragmatic, performance-driven solutions that advance the state of the art in mobile robot path planning.