RynnWorld-4D: A 4D Embodied World Model for Bimanual Robot Control

from Embodied AI 101 · host Shaoqing Tan

A 4D embodied world model that predicts RGB, depth, and optical flow from RGB-D input and instructions using a tri-branch diffusion architecture. Enables closed-loop bimanual robot control by bridging world prediction and policy execution.

Episode metadata supplied by the publisher feed · Published Jul 8, 2026

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RynnWorld-4D: A 4D Embodied World Model for Bimanual Robot Control

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