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WorldContact is presented, a contact-centric world model for deformable-object manipulation, constructed from a limited set of high-quality trajectories to generate additional training data efficiently and fine-tune an existing vision-language-action policy and deploy it directly on a real robot.
Variable-length action chunks can boost LLM agent performance by up to 31% while slashing decision-making time by nearly 79%.
Achieving high stitching accuracy from 2D patterns without expert annotations could revolutionize the automation of garment design.