Qianqian Cai

Papers

Total Citations

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About

Qianqian Cai is a researcher whose work lies at the intersection of computational geometry, robotics, and artificial intelligence, with a primary focus on multi-agent systems and coverage search. Her most cited paper, "Multi-Agent Coverage Search in Unknown Environments with Obstacles: A Survey" (2019, 11 citations), provides a comprehensive synthesis of the coverage search problem—a critical challenge involving environment modeling, optimal agent deployment, and search path planning. This survey has become a foundational reference for researchers tackling the complexities of coordinating multiple agents in unknown, obstacle-rich environments. Cai’s contributions are particularly notable for bridging theoretical algorithm design with practical robotic applications, addressing fundamental issues such as how to efficiently deploy agents and plan their paths to maximize coverage while navigating obstacles. Her work has significant implications for real-world scenarios like search-and-rescue missions, environmental monitoring, and autonomous exploration. With a growing citation impact, Cai is establishing herself as a key voice in multi-agent robotics, offering both rigorous theoretical insights and actionable frameworks for advancing autonomous systems in unstructured settings.