Chinese lab claims first humanoid robot control using space-based satellite inference

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Chinese lab claims first humanoid robot control using space-based satellite inference
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A Chinese laboratory has reportedly demonstrated the control of a humanoid robot via space-based computing.

A Chinese laboratory has reportedly demonstrated the control of a humanoid robot via space-based computing. The experiment was conducted by GuoXing Aerospace Technology and Shanghai Jiao Tong University.

The trial is said to have unified an open-source AI agent, orbital processing, and a ground robot into a closed-loop control system.In regions where terrestrial networks fail, space-based computing steps in to provide high-performance AI for everything from humanoid robots and robotic dogs to autonomous vehicles and drones.Orbit computing power The experiment setup is a high-tech relay race. A ground operator issues a voice command. That command is instantly beamed up to a cluster of satellites orbiting in the silent vacuum of space. There, tucked inside a radiation-shielded casing, Alibaba’s Qwen3 large language model wakes up.Using dedicated in-orbit computing power, the AI performs “inference”—it thinks, processes language, and decides exactly how a robot should move. Those digital instructions then come back to Earth, where the OpenClaw translates them into physical action.Reportedly, the experiment marks the first time AI “thinking” has been successfully hosted in orbit. It proves that space-based computing can reliably power the robots and autonomous systems on the ground.Satellite support anywhereFor most of us, high-speed Wi-Fi is a given. But for autonomous drones in disaster zones, self-driving trucks in remote deserts, or robotic explorers in deep wilderness, ground networks can be fickle.But a terrestrial infrastructure gap, such as collapsed cell towers, would no longer paralyze intelligence once it is shifted to a satellite network in LEO.This architecture eliminates existing issues by processing data directly in orbit rather than merely bouncing signals back to Earth. It could showcase that silicon-based agents can thrive in the harsh space environment. Ultimately, this validates AI token-calling as a viable, high-speed orbital brain for autonomous systems everywhere.The Chengdu-based firm has already deployed 12 satellites and is rapidly scaling. Growing constellationGuoXing Aerospace is rapidly scaling its orbital infrastructure, having already uplinked Alibaba’s Qwen3 model to perform end-to-end reasoning entirely in space. After launching an initial 12-satellite cluster last May, the Chengdu-based firm plans to deploy two more clusters this year, aiming for a 1,000-satellite network by 2030. By 2035, the project will expand into a massive constellation of 2,800 specialized satellites — split between 2,400 inference and 400 training units — operating across diverse orbits to provide global, high-altitude intelligence.This 2,800-satellite swarm is designed with one goal: ensuring no robot is ever out of reach of its own overhead intelligence.The trial demonstrates that space-based AI can support a range of autonomous systems, including quadruped dogs, drones, and self-driving vehicles.In the future, satellites are expected to be used for an increasing number of data applications. However, the orbital computing faces a unique thermal crisis. Compared to Earth-based servers cooled by air, space-based AI chips must expel heat solely by radiation. Because high-power AI inference generates exponentially more heat than satellite functions, mastering onboard heat dissipation in a microgravity vacuum remains a primary engineering hurdle.

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