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A novel air-ground collaboration method achieves a 77% joint success rate, showcasing the power of shared spatial context in navigation tasks.
Treating action conditioning as a structured process rather than a global compression could redefine how we model high-dimensional dexterous actions in AI.
Hierarchical control in humanoid robots can solve complex leg-critical tasks, but performance is fragile and heavily reliant on the choice of motion tracker.
Forget finetuning: this training-free method achieves state-of-the-art zero-shot 3D visual grounding, even in messy, real-world environments.