Testbed Brno

Testbed Brno

The RICAIP testbed in Brno is located in an industrial hall within the Brno University of Technology (BUT) campus in Královo Pole, Brno. The testbed is currently under construction and is expected to start operation by the end of 2021. While the testbed is managed by the Central European Institute of Technology (CEITEC BUT), the activities of multiple teams within the BUT will be executed here. The testbed infrastructure will be available for research and development, teaching and training activities and demonstrators and experimental production execution. It will be available not only to academical teams but also cooperating industrial partners, namely to innovative SMEs. During the start-up phase, the testbed will be used in many large-scale international projects in the field of Industry 4.0 and automotive technologies. The testbed at CEITEC BUT is also strongly connected to the regional innovation ecosystem, which is traditionally oriented at machinery and production technologies.

The core part of the testbed in Brno is a production line consisting of industry grade 3D printing from metals and plastics, laser cutting and welding, a 5-axis machining centre, a 3-axis machining centre and a CNC turning machine. The production line is serviced by a group of robots of different sizes and types (industrial manipulators, collaborative robots, mobile manipulators), including UGVs and UAVs. This production line is supplemented by precise 3D dimensions scanning and VR/AR technologies.

The hall is equipped with a precise optical localisation system and provides enterprise-level SW solutions for products and production line design, simulation and operation, as well as a state-of-the-art automation network. Besides these production technologies, there is unique equipment for development and testing of high-performance rotational drives (up to 250 kW power) for industrial and automotive applications and linear motor drives (up to 100 kW power).

The purpose of the testbed is to provide a testing environment which is close to real industrial conditions. Many use-cases are considered, including, but not limited to

  • Data exchange in geographically distributed production systems.
  • Highly flexible transportation using UGVs and UAVs.
  • Collaboration human-robot-machine and interfaces.
  • Combination of additive (3D printing) and subtractive (machining) processes.
  • AI-based diagnostics, fault prediction and fault mitigation for industrial drives, mechatronic systems and production machines, vibro-diagnostics.
  • IoT, sound/noise/vibration sensors, sensors networks.
  • High-performance and highly reliable rotational and linear drives/powertrains in industrial and automotive applications.