The day’s evidence extends the recent deployment focus beyond raw inference speed. IMBench reveals that recognizing physical constraints does not reliably produce executable behavior, while AC-VLA and fast-slow driving…
Phase labels can govern both sensor access during manipulation and compute reuse during policy evaluation. The evidence supports narrower changes to training and test infrastructure rather than claims of general…
The period is dominated by embodied AI work that treats policies as deployable robot systems. Vision-language-action (VLA) models are tested on dexterous hands, corrupted cameras, dual-arm tasks, and contact-rich…
Real-robot rollout metrics are becoming the useful filter for VLA and world-model work. The clearest moves are to add quality scoring to teleoperated dexterous data, test VLA policies under camera corruption before…