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Gaze behaviors learned through reinforcement alone can lead to unprecedented humanoid locomotion capabilities, including a record 1.2m gap traversal.
Neural solvers can now effectively handle the complexities of multi-agent coordination and multi-objective trade-offs in routing problems, outperforming traditional heuristics.
LLMs can now plan robot manipulation of clutter for navigation in previously inaccessible environments, enabling zero-shot generalization in interactive object placement tasks.
