Robotic World Model: Neural Dynamics for Locomotion

from Embodied AI 101 · host Shaoqing Tan

A neural dynamics world model paired with model-free RL for quadruped and humanoid locomotion in IsaacLab, enabling long-horizon autoregressive prediction with policies trained in imagined rollouts that outperform model-based baselines on sim-to-real transfer.

Episode metadata supplied by the publisher feed · Published Jul 12, 2026

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Robotic World Model: Neural Dynamics for Locomotion

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