Learning Granular Manipulation in Simulation 🌟

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This conference session introduces a groundbreaking benchmarking framework for granular manipulation tasks, addressing the unique challenges posed by granular dynamics compared to traditional rigid-object tasks. The presented contributions include a MuJoCo-based simulation environment designed to support reproducible and scalable benchmarks, alongside a demonstration dataset collection pipeline for evaluating imitation learning strategies under granular conditions. Key insights from baseline...