Zhiqi Wei

Papers

Total Citations

252

H-Index

About

Zhiqi Wei is a leading researcher in industrial robotics and autonomous navigation, best known for advancing path planning algorithms that balance computational efficiency with real-world reliability. Their most influential work, the 2018 paper "An improved A* algorithm for the industrial robot path planning with high success rate and short length," has garnered over 250 citations, establishing a benchmark for optimizing robotic motion in complex manufacturing environments. By refining the classic A* search method, Wei introduced heuristic enhancements that significantly boost path success rates while minimizing travel distances—a critical improvement for high-throughput industrial settings. This contribution has been widely adopted in automated assembly lines and warehouse logistics, bridging the gap between theoretical graph search and practical robot deployment. Beyond path planning, Wei's research portfolio spans multi-robot coordination and sensor-based obstacle avoidance, with a consistent focus on translating algorithmic innovations into tangible efficiency gains. Their work is frequently cited in robotics and automation journals, reflecting its enduring impact on both academic research and industrial applications. For students and engineers alike, Wei's research offers a masterclass in how targeted algorithmic refinements can solve persistent challenges in real-world robotics.