Recently, Zhi Ping Fang unveiled NeuroVLA, an innovative brain-inspired embodied intelligence system, marking a significant advancement in robotics. This system features a unique three-tier architecture that mimics the human brain, comprising the cortex for semantic understanding and task planning, the cerebellum for high-frequency motion coordination and dynamic correction, and the spinal cord for rapid motion execution and safety reflexes. Experimental results indicate that NeuroVLA can reduce robotic motion jitter by over 75% and achieve reflex responses within 20 milliseconds following a collision, all while significantly lowering system power consumption. This breakthrough aims to enhance the efficiency and safety of robotic operations, positioning NeuroVLA at the forefront of intelligent robotics technology.
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