Shanmin Pang

Papers

Total Citations

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About

Shanmin Pang is a researcher whose work sits at the intersection of multi-robot systems, collaborative intelligence, and autonomous mapping. His most-cited paper, "Simultaneously merging multi-robot grid maps at different resolutions" (2019, 13 citations), addresses a fundamental challenge in robotics: enabling multiple autonomous systems to fuse their spatial information even when their maps are built at varying scales. This contribution is critical for real-world deployments where robots operate with different sensors or in heterogeneous environments. More recently, Pang has focused on the broader paradigm of collaborative multiple autonomous systems (2024), arguing that the formation of collaborative intelligence through information and behavioral interactions among autonomous agents is an inevitable trend for future intelligent systems. His work has been recognized as a key focus area in China's next-generation artificial intelligence planning, underscoring its strategic importance for national security and infrastructure. By tackling both the technical granularity of map merging and the high-level vision of system-of-systems collaboration, Pang is helping to lay the groundwork for scalable, resilient autonomous teams.