Autonomous Dump Pocket Cleaning Using Imitation Learning

Accepted conference paper at the World Mining Congress 2026. Experimental testbed and benchmark for evaluating imitation learning architectures on autonomous dump pocket cleaning. Benchmarks four IL architectures (ACT, Diffusion Policy, π0.5 model, and SmolVLA) using a SO-ARM100 platform with granular bentonite material.