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Embodied AI 101

LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

31 min17 maj 2026
Introduces a three-stage pipeline that extracts a latent action space from low-quality human tennis demonstrations, then trains a high-level policy in simulation via reinforcement learning. Enables dynamic whole-body humanoid tennis play with back-and-forth volleys at human level.

Embodied AI 101 med Shaoqing Tan finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.