Xueping Zhang

Hebei University of Technology, Hohai University

Papers

Total Citations

H-Index

About

Xueping Zhang is a researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems, path planning, and reinforcement learning. Their work addresses fundamental challenges in autonomous navigation and coordination, particularly in complex and dynamic environments. Zhang's most cited paper, "Obstacle avoidance of multi mobile robots based on behavior decomposition reinforcement learning" (2007, 7 citations), introduced a novel method that simplifies complex robotic behaviors into independently learned sub-behaviors, enabling more efficient obstacle avoidance. This foundational work demonstrates a key contribution: applying reinforcement learning to decompose and solve intricate control problems. Further contributions include a hybrid path planning algorithm that combines A* with adaptive ant colony optimization (2022, 3 citations), improving path smoothness and optimality. In cooperative task allocation (2007, 2 citations), Zhang applied a market-based dynamic role assignment to coordinate robots in large-scale foraging tasks. While citation counts are modest, Zhang's research consistently tackles core issues in multi-agent coordination and autonomous navigation, offering practical algorithms that bridge reinforcement learning and swarm robotics. Their work is particularly relevant for researchers exploring behavior-based AI and distributed robotic systems.