Xiangping Meng

Papers

Total Citations

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About

Xiangping Meng is a researcher whose work lies at the intersection of multi-robot systems and artificial intelligence, with a particular focus on task allocation and coordination. In their most-cited paper, "Multi-robot task allocation using CNP combines with neural network" (2012), Meng introduced a novel hybrid approach that integrates the Contract Net Protocol (CNP) with neural networks to optimize task distribution among autonomous robots. This work, which has garnered 14 citations, addresses critical challenges in scalability and efficiency for multi-robot teams, offering a more adaptive and intelligent framework for real-world applications such as search-and-rescue or industrial automation. By combining classical negotiation-based methods with machine learning, Meng’s contribution bridges theoretical algorithms and practical deployment, demonstrating how neural networks can enhance decision-making in dynamic environments. While their citation count reflects a focused but impactful contribution, this paper remains a foundational reference for researchers exploring hybrid task allocation strategies. Meng’s work underscores the potential of integrating AI techniques into robotic coordination, paving the way for more autonomous and responsive multi-agent systems.