Yifan Bai

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About

Yifan Bai is a rising researcher in multi-robot systems, focusing on the intersection of task assignment, path planning, and control for heterogeneous robot teams. Their major contributions include the development of Heterogeneous Conflict-Based Search (HCBS), a novel multi-agent path planning algorithm that extends the classic CBS framework to accommodate both holonomic and non-holonomic robots. This work, published in 2025, has already garnered 12 citations, signaling its immediate impact on the field. Bai also introduced a cluster-based approach to multi-robot task assignment, planning, and control in 2024, which has earned 7 citations for its integrated solution to coordinating large robot teams. Their research addresses critical challenges in warehouse automation, search-and-rescue, and autonomous logistics, where diverse robot types must collaborate efficiently. By bridging the gap between theoretical planning algorithms and practical heterogeneous systems, Bai's work provides scalable, conflict-free solutions that advance the state of the art in multi-agent coordination. Their achievements mark them as an emerging leader in robotics and artificial intelligence.