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Generated robot futures can actively harm performance if temporally misaligned, but a new control-based conditioning method recovers substantial success by learning to trust and align them.
Frozen VLAs can recover from unseen actuator faults by inferring joint capabilities online, boosting success rates from 24.8% to 59.3% on 28 tasks.
Autonomous vehicles can now see better in the dark and rain thanks to a lightweight module that fuses per-frame perception with a learned global map, boosting geometric understanding and localization.
Sharing lightweight Bird's-Eye View features between autonomous vehicles slashes reaction times in occluded scenarios, turning reactive maneuvers into proactive safety.
