Zucheng Huang

Guangzhou Institute of Advanced Technology

Papers

Total Citations

H-Index

About

Zucheng Huang is a rising researcher in robotics and autonomous systems, with a focus on intelligent navigation, multi-robot coordination, and human-robot interaction. Huang’s most cited work, “Research on path planning of mobile robots based on improved A* algorithm” (2025, 10 citations), tackles critical inefficiencies in traditional pathfinding by introducing a multi-neighborhood hybrid search method that reduces node expansion and redundant paths—advancing the practicality of mobile robots in dynamic environments. In “Swiss Round Selection Algorithm for Multi-Robot Task Scheduling” (2024, 5 citations), Huang proposes a novel, tournament-inspired task allocation framework to optimize logistics and warehousing systems where multiple robots must execute numerous tasks efficiently and stably. Further demonstrating versatility, “Mobile robot following method based on UWB and single-line lidar” (2024, 2 citations) addresses human-robot collaboration by integrating ultra-wideband and lidar sensors with DBSCAN clustering for robust target recognition and re-identification, even under target loss. Though early in their career, Huang’s work already shows a clear trajectory toward scalable, real-world robotic solutions—merging algorithmic innovation with practical deployment challenges.