Haoyan Zhai

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About

Haoyan Zhai is a researcher focused on advancing autonomous navigation and path planning in unknown, obstacle-rich environments. Their work bridges applied mathematics and robotics, notably through the innovative use of optimal transport theory and the Fokker-Planck equation on graphs to guide robotic exploration without prior environmental knowledge. Zhai’s 2019 paper on optimal transport-based path planning introduced a graph-structured, potential-guided framework that enables robots to dynamically adapt as obstacles are encountered, earning 4 citations for its foundational approach. Building on this, their 2022 study applied the Fokker-Planck equation to model probabilistic path exploration, further enhancing adaptability in uncertain terrains. Though early in their career, Zhai’s contributions are notable for introducing rigorous mathematical tools—typically used in physics and economics—into practical robotics challenges. Their work has been recognized for its originality in merging graph theory with stochastic processes, offering a fresh perspective on real-time navigation. With a growing citation footprint, Haoyan Zhai is establishing a reputation for pioneering mathematically grounded solutions to complex, real-world robotic path planning problems.