By continuing to browse our site you agree to our use of cookies, revised Privacy Policy and Terms of Use. You can change your cookie settings through your browser.
A Chinese lab has recently successfully demonstrated remote, intelligent control of ground-based humanoid robots using OpenClaw and computing power from orbit. /GuoXing Aerospace Technology
A Chinese lab has recently successfully demonstrated remote, intelligent control of ground-based humanoid robots using OpenClaw and computing power from orbit. /GuoXing Aerospace Technology
In a milestone fusion of three frontier technologies, a Chinese lab has recently successfully demonstrated remote, intelligent control of ground-based humanoid robots using OpenClaw and computing power from orbit.
Conducted by the joint lab of GuoXing Aerospace Technology and Shanghai Jiao Tong University, the experiment integrated an open-source AI agent, space-based processing and a terrestrial robot into a single closed-loop system.
In the trial, the operator issued voice commands that OpenClaw uploaded to China's orbiting satellites. Onboard large language models performed in-orbit inference using space computing power, then transmitted decisions back to Earth for OpenClaw to control ground robot movements.
This task pioneers the deployment of AI Token-calling services in space, validating the feasibility of space computing for powering silicon-based intelligent agents.
When ground networks prove unreliable, space computing may provide high-performance AI capabilities for humanoid robots, quadruped robotic dogs, autonomous vehicles and drones.
In January, GuoXing Aerospace Technology, a commercial aerospace firm, uplinked Alibaba's Qwen3 large language model to its space-based computing center, enabling end-to-end reasoning tasks entirely in orbit. Last May, China launched a new constellation of 12 space computing satellites into orbit, the first cluster of GuoXing Aerospace's space computing project.
The company, based in Chengdu, southwest China's Sichuan Province, is planning to build a sprawling network of 2,800 specialized computing satellites by 2035, including 2,400 inference satellites and 400 training satellites deployed across sun-synchronous, dawn-dusk, and low-inclination orbits at altitudes of 500 to 1,000 kilometers.
Its second and third satellite clusters are expected to be deployed this year, with a 1,000-satellite network completed by 2030.
A Chinese lab has recently successfully demonstrated remote, intelligent control of ground-based humanoid robots using OpenClaw and computing power from orbit. /GuoXing Aerospace Technology
In a milestone fusion of three frontier technologies, a Chinese lab has recently successfully demonstrated remote, intelligent control of ground-based humanoid robots using OpenClaw and computing power from orbit.
Conducted by the joint lab of GuoXing Aerospace Technology and Shanghai Jiao Tong University, the experiment integrated an open-source AI agent, space-based processing and a terrestrial robot into a single closed-loop system.
In the trial, the operator issued voice commands that OpenClaw uploaded to China's orbiting satellites. Onboard large language models performed in-orbit inference using space computing power, then transmitted decisions back to Earth for OpenClaw to control ground robot movements.
This task pioneers the deployment of AI Token-calling services in space, validating the feasibility of space computing for powering silicon-based intelligent agents.
When ground networks prove unreliable, space computing may provide high-performance AI capabilities for humanoid robots, quadruped robotic dogs, autonomous vehicles and drones.
In January, GuoXing Aerospace Technology, a commercial aerospace firm, uplinked Alibaba's Qwen3 large language model to its space-based computing center, enabling end-to-end reasoning tasks entirely in orbit. Last May, China launched a new constellation of 12 space computing satellites into orbit, the first cluster of GuoXing Aerospace's space computing project.
The company, based in Chengdu, southwest China's Sichuan Province, is planning to build a sprawling network of 2,800 specialized computing satellites by 2035, including 2,400 inference satellites and 400 training satellites deployed across sun-synchronous, dawn-dusk, and low-inclination orbits at altitudes of 500 to 1,000 kilometers.
Its second and third satellite clusters are expected to be deployed this year, with a 1,000-satellite network completed by 2030.