Embodied AI 101

LATENT: Teaching a Humanoid to Play Tennis from Imperfect Data


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Introduces a three-stage pipeline that extracts a latent action space from noisy, low-quality human motion capture, then trains a high-level RL policy in simulation to compose and execute dynamic whole-body tennis skills. Achieves volleys at human-level performance on a humanoid robot.
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Embodied AI 101By Shaoqing Tan