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In 2025, as physical intelligence accelerates its real-world application, an open-source platform called "Robot GitHub" - Tnkr - officially launched, aiming to end the long-standing fragmentation in robot development. This platform first integrated the four core elements of hardware, software, data, and AI models into a unified open-source ecosystem, allowing developers to build, share, and improve physical robot projects just like collaborating on code.
Traditional robot development is like a "puzzle game": engineers need to repeatedly switch between CAD software, code editors, data collection tools, and AI training platforms, with project documentation scattered everywhere, making replication extremely difficult. Tnkr offers an end-to-end solution - users can upload complete robot project packages, including 3D assembly drawings, control code, parts lists, operational data, and even pre-trained AI models. Others can not only rebuild them with one click but also submit improvements, contribute new data, and even optimize intelligent strategies through actual operation feedback, forming a "smarter with use" closed-loop iteration.
The platform deeply integrates mainstream tools such as Onshape, SolidWorks, and GitHub, achieving a seamless workflow from design to deployment. More notably, it includes an embedded AI engineering assistant **Leonardo** - a 24-hour online "robot assembly mentor." It can analyze user-uploaded assembly videos, CAD files, and control code, automatically generating interactive installation guides, pointing out potential structural errors in real time, and converting ambiguous operation videos into step-by-step instructions precise enough to specify "this screw should be tightened into the third hole." Even beginners facing complex humanoid robots can complete assembly under AI guidance.
Currently, Tnkr has gathered various open-source projects, covering popular forms such as quadrupedal robot dogs and bipedal human-like platforms, allowing the community to freely "remix" (mix and modify) existing designs and quickly derive new applications. This model has the potential to completely lower the barrier to robot innovation, attracting global developers, university laboratories, and even enthusiasts to join the physical intelligence co-creation wave.
AIbase believes that the emergence of Tnkr marks the official extension of open-source spirit from the digital world to the physical world. When robot development enters the "Git-style collaboration" era, the speed of innovation may increase exponentially - in the future, a household elderly assistance robot might integrate a mechanical arm designed by a Brazilian developer, gait algorithm optimized by a German team, and real home operation data from a Japanese community. What Tnkr aims to do is not only provide tools but also build a new civilization foundation where global wisdom collaboratively creates things.
Experience address: https://tnkr.ai/