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RTPolicy: Real-time multi-view visuomotor policy for edge devices, inference at 32.9 Hz

RTPolicy is a multi-view visuomotor policy that uses view-aware feature fusion and visual compression to aggregate multi-camera information into a compact token representation, and uses a flow-matching action generator to reduce action-generation overhead. On the 50 tasks of the RoboTwin 2.0 single-task clean evaluation, it achieved an average success rate of 52.26%, higher than the strongest leaderboard baseline π0 at 46.4%.

Part of the event: RTPolicy Multi-View Visual Motion Policy Paper Released

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