Deep-tech solutions to generate data to build reliable AI and robotics systems. Customized toolsets based on modern standards.Learn More
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Robotec.ai is a software company that develops deep tech solutions for robotics and automated vehicles. Our multi-disciplinary teams consist of experts in robotics, electrical engineering, software development, AI/machine-learning and human factors. Together with our robotics and automotive partners we are taking part in shaping the future of robotics.
Bringing the future robotics to the present by giving innovative companies best services and software tools.Read more
Testing & validation
We support our partners in the prototyping, development and testing of robotics and AV/ADAS stack starting with early stage development using simulation technologies for perception, planning and vehicle control. We are experts in modern C++ and ROS 2.
We offer complete testing and validation services for interior sensing. Our focus is on NIR-based driver monitoring systems. We provide software engineering services to support our partners in the development of safety-critical driver state detections e.g. drowsiness, distraction, driving under influence and sudden sickness.
We develop efficient AI-powered solutions for robotics and automated vehicles. Our expertise is in synthetic dataset generation, simulation-enabled machine learning operations (MLOps), embedded machine learning, and perception algorithms (using sensors data e.g. camera, lidar and radar).
Prepared and applied full laboratory setup for generating highly accurate ground truth datasets for vehicle interior sensing including driver monitoring in reference to distraction detection. We used a high-end motion capture system in the manufactured vehicle mock-up.Read more
We co-developed ROS 2 gem for Open 3D Engine to enable performant and scalable simulation of agriculture, mining and warehouse robots. Tailored for ROS, it gives full access to the ROS 2 ecosystem.Read more
Dedicated driving simulator dataset collection campaign for generating ground truth datasets drowsiness detection. Our team applied a combination of eye closure metrics, driving performance and physiological data analysis (ECG and EEG).Read more
Take a look at our ROS2 O3DE Gem which enables the user to use ROS2 code in their simulation project! O3DE with this Gem will respect your workspace overlays, handle simulation time, and supply useful components for common tasks such as publishing transform frames and applying namespaces. It supports multi-robot simulation by default.Read more
Robotec.ai joined Technical Steering Committee of the Autoware Foundation. The Autoware Foundation is the largest organisation supporting open-source projects enabling self-driving mobility. The Autoware Foundation consists of over 40 organisations collaborating on next generation autonomous driving.
Autoware.Auto is based on ROS 2 and applies best-in-class software engineering practices.
First Autoware.Auto use cases are Autonomous Valet Parking and Autonomous Depot Maneuvering.