Gasgoo Munich- On June 24 that at the Summer Davos 2026, AI² Robotics' founder and CEO Guo Yandong argued in a speech that brain-inspired intelligence, few-shot learning, and low-power computing will become critical directions for the next generation of robotic brains.He contends that the next generation of robotic minds shouldn't be a mere race for computing power and data, but rather a push toward more efficient and sustainable development paths. A major challenge currently facing the robotics industry is the persistent application gap between industrial, public service, and future domestic scenarios. The key to bridging this divide lies in unified hardware and unified models.Meanwhile, data generated across different scenarios continuously flows back into a single robotic brain: industrial settings refine precision and stability, while public service environments enhance interaction and generalization capabilities. These two strengths reinforce each other, ultimately laying the foundation for future home applications.Image: AI² RoboticsOn June 15, Gasgoo reported that Guo officially unveiled NeuroVLA, the world's first brain-inspired embodied intelligence system, at the Embodied Industry CEO Forum during the 2026 Beijing BAAI Conference. He simultaneously announced that the system would be open-sourced on the AlphaBrain Platform.The NeuroVLA architecture was developed jointly by AI² Robotics and the Hong Kong University of Science and Technology (Guangzhou). It mimics the human brain's three-layer system—cortex, cerebellum, and spinal cord—with the cortex handling deep reasoning and planning, the cerebellum ensuring dexterity and stability, and the spinal cord enabling instinctive, split-second reactions.NeuroVLA has now launched on AlphaBrain Platform, AI² Robotics's one-stop open-source community for embodied intelligence, and is open to the entire industry.
