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GeoProp achieves a remarkable 10.6% boost in real-world manipulation tasks by effectively grounding robot state in visual context, all while adding minimal complexity.
Policies trained on RynnWorld-Teleop's synthetic data achieve zero-shot transfer to real-world tasks, revolutionizing how we collect and utilize robotic training data.
RynnWorld-4D transforms robotic manipulation by co-producing future scene dynamics from a single RGB-D image, leading to unprecedented performance in dexterous tasks.
