Zhihong Peng

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About

Zhihong Peng is a leading researcher in cooperative multi-robot systems, with a primary focus on path planning, task allocation, and resource scheduling in complex environments. Their foundational work, "Cooperative Coevolutionary Adaptive Genetic Algorithm in Path Planning of Cooperative Multi-Mobile Robot Systems" (2002, 87 citations), introduced a pioneering adaptive genetic algorithm that enables multiple robots to navigate and coordinate efficiently, establishing a key framework for cooperative robotics. Building on this, Peng’s recent research extends into search and rescue (SAR) operations, as demonstrated in their 2021 paper on a "Problem Specific Genetic Differential Evolution Algorithm for Multi-skill Resource-constrained Project Scheduling of Collaborative Multi-Robot Systems for Search and Rescue." This work addresses the critical challenge of resource scheduling and task allocation (RSTA-RSSAR) for multi-robot teams in disaster scenarios, adapting the multi-skill resource-constrained project scheduling problem (MSRCPSP) to robotics. By integrating differential evolution with genetic algorithms, Peng’s approach optimizes robot skill utilization and coordination, significantly enhancing mission efficiency. With over 89 citations across their most-cited works, Peng’s contributions are vital for advancing autonomous, collaborative robotics in high-stakes environments, inspiring future research in intelligent multi-agent systems.