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Tactile dynamics are crucial for contact-rich manipulation, and VT-WAM outperforms existing models by 26.67% to 35.84% by effectively integrating visual and tactile cues.
Fine-tuning generative policies for robotics doesn't have to be a nightmare: POCO offers a stable and efficient RL framework that actually works on real robots.
Imagine training robots to manipulate objects in the real world, but entirely within a high-fidelity, diffusion-based dream.
