Event
Stardust Intelligence AOS Hackathon: 16 Apps Run on Real Robots
6 reports · 5 sources
The finals of the Stardust OS (AOS) robot hackathon hosted by Stardust Intelligence concluded in Shenzhen on October 25. Seventeen teams developed 16 apps in 36 hours, of which 94% ran from the simulation environment through to execution on the real T1 humanoid robot. Across the three stops, a total of 47 teams participated, with works covering tasks such as photography tracking, elderly care, and remote avatar. The champion team, "Remote Avatar," connected the mobile phone end, the Stardust desktop end, and the real T1 robot, completing multi-step tasks such as scooping cat litter, watering plants, pouring water, and picking up packages. Participants called the Meta capability packages and Skills encapsulated by AOS, combined them with large models such as GPT and DeepSeek, and starting from a one-sentence requirement, completed development, simulation testing, and real-robot validation. Stardust Intelligence founder Lai Jie said that when designing the interfaces, AOS considered two types of users at the same time: humans and AI models; what AOS hopes to lower is the development threshold, not to bypass the necessary engineering processes. After an application is tested in the simulation environment, it still needs to be debugged and validated on the humanoid robot. According to a report by Robot Frontier, running successfully within 36 hours does not equal long-term stable operation, and the requirements for task design, data collection, on-site debugging, and continuous validation have not disappeared; the report also said that the app-store analogy points to a long-term product and ecosystem direction, and does not mean that Stardust currently already has an app store or a revenue-sharing mechanism.
Developments
- Stardust Intelligence AOS Robot Hackathon Concludes: 47 Teams Generate Robot Apps from a Single Sentence · 2 reports
- Stardust OS Robotics Hackathon concludes: 16 of 17 teams' apps ran on real robots · 3 reports
Report timeline
- Stardust Intelligence's Lai Jie: Using AOS to Connect General Large Models with Embodied Models
Stardust Intelligence founder Lai Jie said the company does not compete with general large models; instead, through Stardust OS (AOS), it packages perception, mobility, manipulation, and interaction into callable Meta capability packages and Skills, enabling models such as GPT and DeepSeek to divide the work and collaborate with its self-developed Lumo embodied foundation model.
钛媒体 ·
- Stardust Intelligence AOS Robot Hackathon Concludes: 47 Teams Generate Robot Apps from a Single Sentence
The Stardust OS (AOS) robot hackathon finals, hosted by Stardust Intelligence, concluded in Shenzhen on October 25. A total of 47 teams took part across three stops; in the finals, 17 teams developed 16 apps over 36 hours, with a 94% rate of running on real robots. AOS packages perception, mobility, manipulation, and interaction into callable Meta packages and Skills, and creators combine large models such as GPT and DeepSeek to complete development, simulation testing, and real-robot validation starting from a one-sentence requirement. The champion team, "Remote Avatar," achieved two-way real-time control between a phone and the T1 and completed tasks including scooping cat litter, watering plants, and picking up packages.
OFweek Robotics ·
- Stardust OS Robotics Hackathon concludes: 16 of 17 teams' apps ran on real robots
The Stardust OS Robotics Hackathon finals concluded in Shenzhen, with 16 of 17 teams' apps moving from simulation to real-robot testing, a real-robot rate of 94%. The competition centered on generating apps from a single sentence; across three stops it drew 47 teams, with entries covering tasks such as follow-cam photography, elderly care, and remote avatars. Stardust Intelligence uses AOS to connect external tools such as GPT-6 and Claude along with its in-house Lumo model, and to dispatch the capabilities of its cable-driven robot body downward.
机器人前瞻 · 微信公众号 ·
- Stardust Intelligence Stardust OS Robot Hackathon Concludes: 17 Teams, 16 Apps on Real Robots, 94% Deployment Rate
On October 25, Stardust Intelligence held the Stardust OS Robot Hackathon finals in Shenzhen, where 17 teams took 16 apps from simulation to execution on the T1 humanoid robot within 36 hours, a 94% deployment rate. Stardust OS (AOS) packages perception, mobility, manipulation, and interaction into Meta packages and Skills, letting developers orchestrate tasks by describing intent in natural language. The champion team, "Remote Avatar," connected a mobile phone, the Stardust desktop, and the T1 real robot to complete a closed loop of multi-step tasks including scooping cat litter, watering plants, pouring water, and picking up packages.
Xbotics具身智能实验室 · 微信公众号 ·
- Stardust OS Robotics Hackathon Concludes: 17 Teams Build 16 Real-Robot Apps in 36 Hours
On October 25, the Stardust OS (Astribot OS, AOS) robotics hackathon finals, hosted by Stardust Intelligence, concluded in Shenzhen. 17 teams developed over 36 hours, and 16 apps went from simulation to real-robot testing, with a 94% real-robot deployment rate.
古月居 · 微信公众号 ·
- Stardust Intelligence AOS Robot Hackathon Concludes, 94% of 16 Apps Run on Real Robots
The Stardust OS (AOS) robot hackathon finals, hosted by Stardust Intelligence, concluded in Shenzhen on October 25. 17 teams developed 16 apps in 36 hours, with 94% running on real robots. Participants built applications by calling AOS-encapsulated Meta capability packages and Skills, combined with large models such as GPT and DeepSeek. The champion team, "Remote Avatar," achieved two-way real-time control between a phone and the T1, completing tasks such as scooping cat litter, watering plants, and picking up packages. Stardust Intelligence founder Lai Jie said that when designing the interfaces, AOS considered both human and AI model users.
OFweek Robotics ·