A constrained optimization layer interleaved with flow-matching denoising enables predictive collision avoidance in VLA models, delivering 82.8% collision avoidance and 81.6% task success on SafeLIBERO with gains over single-step baselines.
Advances in the Theory of Control Barrier Functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems
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A literature review that defines silent physical-action failures in Physical AI and identifies the lack of complete runtime authorization boundaries across surveyed technical streams.
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Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching
A constrained optimization layer interleaved with flow-matching denoising enables predictive collision avoidance in VLA models, delivering 82.8% collision avoidance and 81.6% task success on SafeLIBERO with gains over single-step baselines.