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cs.RO2026
Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow Matching
William English, Hao Zheng, Rickard Ewetz
Vision-Language-Action (VLA) models have demonstrated promising generalization capabilities across robotic manipulation tasks, yet their real-world deployment remains limited by th…
cs.AR2026
Characterizing the Impact of NVFP4 Quantization for Low-Power Edge AI Deployment
Ovishake Sen, Venkata Nithin Kamineni, Daniel Lobo +3
Energy-efficient neural-network inference at the edge requires reducing arithmetic cost, memory traffic, computation energy, and storage overhead while maintaining acceptable accur…