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Zufeng Zhang

1 accepted papers

2025

ME-PATS: Mutually Enhancing Search-Based Planner and Learning-Based Agent for Tractor-Trailer Systems

ICRA 2025

Planning a kinodynamically feasible path for a tractor-trailer vehicle is challenging for both search-based and learning-based methods due to the vehicle's unique kinematics and complex obstacles. These factors increase the likelihood of infeasible paths and exacerbate long-horizon issues. We introd

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