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Retaining future imagination through compact latent actions allows LAWA to outperform existing models while slashing inference latency by nearly 43%.
Robots can now predict not just immediate actions but also the next stages of complex tasks, leading to more efficient manipulation strategies.
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.
