The growing variability of modern manufacturing, in particular in low -volume production (HMLV), requires flexible, adaptable and durable automation solutions. This research subject focuses on the progress of the automation of adaptive robotic processes which allow rapid, flexible and effective configurations. Key themes include challenges such as the rapid deployment of robots, the transfer of process knowledge through various products and scenarios, and the automation of complex tasks.
At the heart of this subject is the development of Demonstration programming (PBD) Techniques, which simplify the programming of robots and minimize dependence on specialized expertise. PBD facilitates the transparent integration of robots into HMLV workflows, especially for small and medium -sized businesses. Complete PBD, transfer of knowledge Methods allow robots to Adapt the processes Like the treatment of the surface (for example, polishing, collage, paint) and (say) –Assembly tasks (for example, (one) -swing, manipulation, striking, fixing, cut) at Different products with similar geometric characteristicsIncluding furniture, molds, battery cells and car parts. These innovations are essential to manage the variability of geometries, materials and production scenarios.
This research subject also addresses the variability of operational contexts, such as the management of differences in product orientations or tool configurations. Examples of applications include adaptive entry and handling of various printed circuits, polishing of various sink molds with variations in topology, etc. Contributions are encouraged in these areas and related areas, emphasizing interdisciplinary approaches that combine robotics, artificial intelligence and sustainable practices and social production, and / or the environment) to advance adaptive automation and the engine of HML innovation.
Key objectives include:
1 and 1 Programming simplified by Demonstration (PBD): Allow programming of intuitive robots for various tasks, reducing the skills barrier for the configuration of automation.
2 Knowledge transfer for diversity in products and situations: Exploration of knowledge transfer methods of robotic processes to different but similar manufacturing products and manufacturing environments.
3 and 3 Automatic process planning: Advance the calculation tools for the rapid design and the deployment of specific robotic tasks adapted to complex geometries and the requirements of the product.
This research subject invites contributions to the following themes (but without limiting itself):
1 and 1 Treat knowledge transfer to different products with similar characteristics and geometry
• Robotic knowledge transfer techniques to tasks like:
I. Surface finishing: Polishing, painting, oils (applications in furniture, molds, macro-cells of battery, automobile and aerospace industries).
II Take and manipulation: Management of similar products (for example, printed circuits, battery macro-cells) with variations in configurations.
III. Assembly and disassembly tasks: Screw, unscrew, cut, stick variable products.
2 Quick configuration (RE) -Configuration of the process-based process to flexible automation
• Rapid configuration of the robot in flexible manufacturing environments.
• Management of differences in the geometry of products, guidelines or tool configurations.
• Adapt to environmental variability, such as changes in parts or tools, differences in expected human behavior in interactive processes, etc.
3 and 3 Sustainable automation: social, economic and / or environmental (at least one)
• Take advantage of the human paradigm in the loop for social inclusion in manufacturing.
• Avoid reprogramming the robot for product differences, rapid configuration, optimized cycle time, etc., offering economic advantages.
• Environmentally friendly applications, ecological manufacturing, etc.