Xianqun Huang

Papers

Total Citations

H-Index

About

Xianqun Huang is a robotics researcher whose work focuses on advancing multi-robot path planning for real-world applications, particularly in healthcare and logistics. His most influential contribution, "Mixed path planning for multi‐robots in structured hospital environment" (2019, 23 citations), addresses the critical challenge of coordinating delivery robots in complex, human-filled hospital settings. Huang developed a novel "corridor path" algorithm that balances efficiency with safety, enabling multiple robots to navigate narrow hallways and interact with staff and patients without collisions. This work has direct implications for automating hospital logistics, reducing staff burden, and improving patient care. In his related study, "Multi Mobile Robot Path Planning Based on Rough-Fine Search Strategy" (2019), Huang tackles the "dimension explosion" problem—the computational complexity that arises when optimizing paths for many robots simultaneously. By introducing a two-stage search approach, his algorithm finds near-optimal solutions faster than traditional methods, advancing the field of intelligent warehousing and logistics. Huang's research bridges the gap between theoretical path planning and practical deployment, making him a notable figure in multi-robot systems for structured environments.