Industrial Testbed Core

• AI for Autonomous Robotics and Manufacturing Quality
  IoT and data analytics, data storage, big data. Image processing, quality inspection, and control. Flexible robotic manipulation with various types of parts. Edge computing, data privacy, and sovereignty.
• Manufacturing Machines and Processes
  Additive manufacturing using various technologies, including robotic 3D printing. Machining, laser processes. Monitoring and control of manufacturing processes for improved quality and productivity. NC code generation and virtual simulation of CNC machine and robot operations. Robots in manufacturing, handling, and assembly. Process and machine diagnostics. Production optimization.
• Digital Twin and Digital Shadow
  Synchronization of physical systems and simulations. Virtual commissioning of manufacturing and processes. Dynamic machine models. Predictive maintenance.
• Smart Factory and Distributed Manufacturing
  Automated production planning, material flow planning. Modular and flexible production, logistics operations. Manufacturing-as-a-Service.
• Advanced Energy Systems
  Optimization of manufacturing processes integrating available energy sources. Electric power distribution systems incorporating diverse green energy sources.

• Flexible Manufacturing Systems
  Additive and subtractive technologies, robotics, mobile manipulators, UGVs, UAVs.
• Human-Machine and Human-Robot Collaboration
  AR/VR technologies, precise localization and navigation in industrial environments. Remote monitoring, visual telepresence.
• Machines and Mechatronic Systems
  Diagnostics and sensors for predictive maintenance. Vibrodiagnostics, acoustic holography, acoustic emission. Advanced automation and AI applications.
• Advanced Actuators
  Advanced rotary and linear drives for industrial applications. Drive systems for electromobility. Fault-tolerant drives, advanced drive control. Diagnostics and monitoring.
• Sensor Networks and IoT
• Edge computing, HPC, AI applications in industry

• Industry 4.0 and digitalisation
  Research and development of
  solutions for a digitised and
  human-centred and reconfigurable production.
• Robotics applications
  Research in the area of human-robot-collaboration, Human-Robot Interaction and sensitive robotics.
• Artificial Intelligence
  Research and development in the area of multimodal dialogue systems, transfer learning, planning and neural symbolic imitation learning.
• Remote collaboration
  Research and development of
  solutions for remote collaboration between distant production sites.

Goals

RICAIP focuses on research areas related to Industry 4.0, in particular robotics and artificial intelligence (AI) for advanced industrial production. The aim of the distributed research and experimental workplace – Industrial Testbed Core – is to develop and test innovative solutions for advanced industrial production, continually optimizing to the changing environment. RICAIP EU Testbed Core aims to become a major contributor to the international standardization efforts and cybersecurity of the Industry 4.0 initiative, facilitating technology and knowledge transfer from academia to industry through the deployment and development of technical solutions tested and validated in the relevant industrial environment. The backbone of this infrastructure consists of the Industrial Testbed for Industry 4.0 at CIIRC CTU in Prague, the testbed at the CEITEC BUT institute in Brno, and the joint testbed of DFKI and ZeMA in Saarbrücken.