Yuanhao He
Papers
1
Total Citations
1
H-Index
1
About
Yuanhao He is a researcher focused on advancing multi-robot systems and motion planning, with a particular emphasis on integrating kinematic constraints into scalable pathfinding algorithms. His most notable contribution is the development of a two-level path planning approach that enhances Conflict-Based Search (CBS) by incorporating optimal motion primitives. This work directly addresses a critical limitation in classical multi-robot path planning, where simplified robot models often produce paths that are impractical for real-world deployment. By bridging the gap between theoretical search methods and physically feasible motion, He’s research enables more efficient and realistic coordination of multiple robots in constrained environments. While his most-cited paper, published in 2025, has garnered early attention with 1 citation, it represents a foundational step toward robust, kinematically-aware multi-agent systems. His work holds promise for applications in warehouse automation, autonomous vehicle fleets, and collaborative robotics, where precise motion under real-world constraints is essential. He continues to explore the intersection of optimal control and combinatorial search, aiming to make multi-robot coordination both computationally tractable and physically executable.
Research Focus
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Top Papers
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