Automated plug-in
The particular challenge of this task is not recognising the socket, but rather determining its exact position and orientation in order to automatically guide the plug into the socket. Using a digital twin including a camera plug-in, the entire process can be checked in advance and switched over to the real system (or operated in parallel) at the touch of a button using the ROS middleware.
Project partner
Methods
- Object recognition based on Artificial Neural Networks (ANN)
- Feature Extraction
- Pose Estimation
Advantages for customers
- Robuste und zuverlässige Objekterkennung
- Large viewing area
- Realizable with RealSense camera
- Independent of the robot or camera supplier
Dipl.-Ing., Dr. Markus Schörgenhumer, BSc
Business Area Manager Mechanics & Control
Further reference projects
Robotics in the agricultural sector
Use of robotics in the agricultural sector Simulation, optimization and prototyping The agriculture of the future needs efficient, autonomous solutions…
Robot for pipe inspection
Robot for pipe inspection Autonomous inspection of tunnel drainage pipes Together with ÖBB-Infrastruktur AG, LCM GmbH is developing the Tunnel…
Autonomous waste disposal and sorting
Waste robots in public spaces LCM is working together with the company Brantner on an autonomous robot system that automatically…
