Zhang Haiqiang
Papers
1
Total Citations
17
H-Index
1
About
Zhang Haiqiang is a leading researcher in multi-robot systems and cooperative control, with a particular focus on task allocation and dynamic coordination. His seminal 2008 work, "Task allocation for multi-robot cooperative hunting behavior based on improved auction algorithm," has garnered 17 citations and stands as a cornerstone in the field. Within the well-known contract net protocol framework, Zhang introduced a novel task allocation method that addresses a critical limitation of ordinary auction algorithms: their unsuitability for tracking moving targets. By developing an improved auction algorithm, he enabled multiple robots to efficiently and adaptively allocate tasks during cooperative hunting scenarios, significantly enhancing real-time responsiveness and system robustness. This contribution has had a lasting impact on swarm robotics and autonomous coordination, influencing subsequent research in distributed decision-making and multi-agent systems. Zhang’s work is essential reading for students and researchers exploring intelligent task assignment in dynamic environments, and his innovative approach continues to inspire advances in cooperative robotics.
Research Focus
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Top Papers
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