Abstract: Imitation Learning is a simple and widely used framework for acquiring robotic manipulation skills through expert demonstrations. While recent advances have applied diffusion models with ...
Abstract: Whole-body loco-manipulation for quadruped robots with arms remains a challenging problem, particularly in achieving multi-task control. To address this, we propose MLM, a reinforcement ...
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