← Previous · All Episodes · Next →
LATENT: Teaching a Humanoid to Play Tennis from Imperfect Data Episode

LATENT: Teaching a Humanoid to Play Tennis from Imperfect Data

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.

· 20:24

|
← Previous · All Episodes · Next →