The manufacturing industry is evolving toward increasingly intelligent, autonomous, and connected production models, driven by the convergence of advanced robotics, Artificial Intelligence, Digital Twins, Edge/Cloud Computing, and new forms of human–machine collaboration. In the Industry 5.0 paradigm, robots are no longer simple automation tools but adaptive and cognitive systems integrated into intelligent production ecosystems, with significant impacts on productivity, flexibility, and operational resilience.
Inspired by the position paper Advanced Robotics in Industry: Technological Evolution, Impacts and Future Perspectives, the course offers an introductory yet structured overview of Advanced Robotics, combining strategic perspectives and technological foundations to guide companies toward a conscious, effective, and sustainable adoption of these solutions.
The course is introductory and offers a comprehensive overview of the technologies, operating logic, and main applications of advanced robotics, without involving programming activities or direct use of the robots.
The first part of the course will analyze the evolution from traditional automation to multi-functional robots, key market trends, growth drivers, investments, and the emerging role of humanoid robotics, with particular focus on strategic impacts for businesses and industrial scalability challenges.
The second part will delve into the main technologies redefining advanced robotics, including AI, simulation and Digital Twins, multimodal perception, autonomous navigation, Edge/Cloud Computing, and human–machine interaction. Frameworks and platforms used in the development and simulation of advanced robotic systems, such as ROS, Gazebo, RViz, and NVIDIA ecosystems, will also be introduced with a pragmatic approach oriented toward real-world application cases.
Through industrial use cases and a visit to the CIM laboratories, participants will also be able to observe concrete applications of the technology in real operational contexts, connecting theoretical aspects to actual industrial implementation dynamics.
The laboratory component will be demonstrative: participants will watch demos developed by the CIM team, serving to concretely show functionalities, enabling technologies, and main application cases.