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The University of Sydney
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VOiLA achieves a threefold reduction in sampling costs, making learned POMDP models viable for real-time robotic planning.
Streaming flow policies can now be adapted in real-time to enforce safety and task-specific constraints, ensuring robots respect joint limits and avoid collisions without sacrificing smoothness or reactivity.
