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Alibaba Group on Tuesday launched a new artificial intelligence model designed to power robots. The initiative positioned itself in the global race to develop so-called ‘physical AI.’
The model, developed by the company’s research arm DAMO Academy, is built to help robots perceive environments, recognize objects, and execute tasks in real-world settings. Alibaba described it as a foundation model for embodied intelligence, moving beyond text-based generative AI to systems that can control machines.
Alibaba said the model improves spatial understanding, memory, and motion planning. In demonstrations, the robots identified objects and placed them inside containers, which involved various cognitive processes, including vision, reasoning, and motor control.
The company said it would make the model open source, allowing developers and manufacturers to integrate it into robotics applications. Analysts say this could accelerate adoption across logistics, warehousing, and manufacturing sectors.
The technology industry has shifted its focus toward robotics because it represents its upcoming expansion beyond generative AI. NVIDIA, the US chip manufacturer, has launched artificial intelligence platforms that enable the development of self-driving systems. Google DeepMind maintains its research operations through ongoing expansion efforts.
Tesla develops humanoid robots that will serve industrial functions. Observers define physical artificial intelligence as systems that possess the ability to see, think, and take actions within changing surroundings.
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In addition, Chinese leaders have identified advanced robotics and embodied AI as key technologies in the face of increased competition from the US. Alibaba’s latest move indicates that the race for AI is moving from software and digital applications to physical infrastructure.
The launch represents a significant trend within the industry, which will see the next generation of AI technology focused on machines that not only produce content but also perform tasks within the world.
