Cyber-Physical Systems (CPS) and robotics are intelligent technologies that merge computers with physical processes. They use sensors and actuators to understand and respond to the world around us, such as robots that can operate autonomously in greenhouses or factories. These technologies are essential for making our production processes more efficient and sustainable, from growing food to manufacturing products. CPS and robotics thus open new doors for how we work and produce.
De challenge
The development of CPS and robotics faces challenges such as the complexity of integrating sensors and actuators and ensuring reliable performance in dynamic environments. Achieving goals like autonomy, robustness, and resilience requires a wide range of expertise. Collaboration across disciplines is crucial for advancing and applying these technologies, focusing on overcoming unpredictability and efficiently handling materials.
The approach
The approach to addressing challenges in CPS and robotics combines multidisciplinary expertise with sector-specific needs. This involves close collaboration with knowledge institutions and a focus on developing technologies that directly address practical questions, such as improved autonomy, more efficient human-machine collaboration, and the digitization of production processes and supply chains. The aim is to create flexible, adaptive production lines and advanced quality control systems, leveraging self-learning systems and AI.
The impact
CPS and robotics have a broad impact on improving sustainability and production efficiency, especially in the agrifood and composites sectors. These technologies contribute to energy savings and optimize production processes through intelligent sensors and autonomous systems. They also support better decision-making and reduce the waste of natural resources. Scientifically, CPS and robotics drive innovation through advanced data analysis, modeling, and machine learning, ultimately contributing to a more climate-neutral and circular economy.