Digital Twin
We use digital twins for prototyping, testing, monitoring and steering vehicles.
Our digital twins are in sync with the real world.
AI
We built our own Artificial Intelligence. An operating system based on human legal driving procedures.
Our AI-instructor trained and assessed human drivers autonomously since 2002. Scientific studies show that our AI made driving education more efficient by 12,4%.
Data Loop
We collected and analysed data from more than 300.000 human drivers, a unique reference for assessing autonomous driving skills.
We have behaviour data of novice drivers, professional drivers, emergency drivers, young children, etc. We know their strengths and weaknesses. We use this data to train and assess autopilot software.
Open source
We use open-source autopilot software to increase public transport capacity and make it accessible to everyone.
Mission statement
Accelerate the use of autonomous machines
Autonomous machines, such as self-driving vehicles and care robots, will contribute to a sustainable world, public safety, and the accessibility of resources. robotTUNER accelerates the use of autonomous machines with transparent open source technology and certification. We deliver cost effective solutions and share our sources.
robotTUNER started the COLUMBUSS learning community in the Netherlands.
The COLUMBUSS learning community aims to accelerate the commercial use of autonomous technology in transporting people and goods.