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Task execution time can be drastically cut while improving success rates by adapting motion speeds to the complexity of manipulation stages鈥攏o annotations required.
Autonomous vehicles can now better navigate occluded environments thanks to a new risk map that understands both traffic flow and collision potential.
End-to-end driving models are surprisingly bad at using navigation, but a new framework shows how to inject it for SOTA results.
Humanoid robots can now traverse steps up to 20cm and gaps up to 80cm thanks to a contrastive learning approach that forces MoE experts to specialize on different terrain types.