F2F-AP combines predicted object flow with contrastive feature alignment to give asynchronous policies proactive visual context for latency compensation in dynamic manipulation.
Real- Time Robot Execution with Masked Action Chunking, January 2026
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F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation
F2F-AP combines predicted object flow with contrastive feature alignment to give asynchronous policies proactive visual context for latency compensation in dynamic manipulation.