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WireCraft Released: A Simulation Benchmark for Industrial DLO Manipulation

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The research team led by Chongyu Zhu has released WireCraft, a simulation benchmark covering three categories of industrial deformable linear object (DLO) manipulation tasks—connector insertion, snap routing, and cable-duct pressing—supporting both articulated and deformable physical models, with accompanying trajectories sourced from both simulation and a real UR5 robotic arm; the paper was accepted as a Spotlight at CoRL 2026. Evaluations show that reinforcement learning based on privileged state achieves success rates above 82% on representative settings for each task category; on the real UR5, supplementing real demonstrations with simulation data improves success rates by 15–65 percentage points under the best-performing hybrid configuration for each task.

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  1. WireCraft: A Simulation Benchmark for Industrial Deformable Linear Object Manipulation

    WireCraft is a simulation benchmark for industrial deformable linear object (DLO) manipulation, covering three task families: connector insertion, clip routing, and channel seating. It supports two physics models, articulated and deformable, and the released trajectories come from both simulation and a real UR5 robotic arm.

    arXiv cs.RO ·

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