An RL policy trained in a new MuJoCo forestry crane simulator grasps varied-diameter logs with 96% simulated success, though the claimed open-source code is not provided.
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Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking
An RL policy trained in a new MuJoCo forestry crane simulator grasps varied-diameter logs with 96% simulated success, though the claimed open-source code is not provided.