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Simplexity Robotics
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LaST-HD achieves over 90% accuracy in robot manipulation tasks using just 20 minutes of low-cost human demonstration data, revolutionizing how robots learn from human actions.
A learnable missing token representation allows MRAF to achieve 100% accuracy in polyglot speaker identification, even when face information is missing.
Forget static imitation learning: LaST-R1 unlocks near-perfect robotic manipulation (99.8% success) by adaptively reasoning about physical dynamics *before* acting, then refining with RL.
