Imagine teaching a robot to move just by showing it with your hands, like mimicking a dance move. Instead of writing complex code, you simply guide the robot in real-time and it copies you perfectly. It turns a high-tech machine into a tool that anyone can use without needing a degree in robotics.
Industrial robots are typically too rigid and expensive to program for SMEs that produce a wide variety of low-volume products. This creates a barrier to automation for smaller companies that cannot afford dedicated robotics engineers.
A no-code, AI-assisted gesture-control platform for robots with sub-millimeter precision and a brand-agnostic communication interface.
If you are a boutique woodworking shop dealing with high-mix low-volume production — this project developed a gesture-control system that allows workers to teach robots new motions in real-time. This removes the need for expensive programming experts for every small product change.
If you are a specialized PCB assembly plant dealing with frequent product iterations — this project developed a brand-agnostic platform that achieves sub-millimeter precision. This allows rapid reconfiguration of different robot brands without rewriting code.
If you are a small-batch component manufacturer dealing with the high cost of automation setup — this project developed a no-code VRP solution. It enables the existing workforce to program robots with minimal training, shifting staff to more rewarding tasks.
Based on available project data, specific pricing is not mentioned, as the project focus was on business validation and investor readiness for a spin-off.
The project aimed to raise the TRL to 6 and included industrial pilot projects to demonstrate commercial viability in industry settings.
Based on available project data, the goal was to register a spin-off company within 24 months to commercialize the technology.
The project data does not specify implementation timelines, but emphasizes that users can teach robots with minimal training.
Yes, the project specifically developed a robot brand agnostic communication platform to ensure interoperability between various robot models and manufacturers.
The project is led by a single academic partner, Technische Universität Darmstadt. While the consortium lacks direct industry partners (0% industry ratio), the project's core objectives are heavily business-oriented, focusing on spin-off creation, investor readiness, and industrial pilot testing to bridge the gap between research and market.
Contact the technology transfer office at Technische Universität Darmstadt
Contact us to find the spin-off entity resulting from this project.
