Vision-Language-Action models for end-to-end robotic control. SmolVLA, RDT2-FM action generation.
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Vision-Language-Action models for end-to-end robotic control. SmolVLA, RDT2-FM action generation.
INT4 vision-language models for robotic scene understanding. Qwen2.5-VL for visual QA and grounding.
INT4 quantized language models for robotic reasoning. Qwen2.5, SmolLM2 optimized for edge deployment.
INT8 quantized vision models for real-time robotic perception. SAM2, DINOv2, CLIP, SigLIP, Depth Anything.