Learning Granular Manipulation in Simulation 🌟

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...