PRR–GreenAuto @ UC

PPS10- Neural network systems for robots Neural networks are AI methods increasingly used in various industries, providing a layer of intelligence and greater adaptability to automation systems that are typically pre-programmed and not flexible. In this context, the GreenAuto Agenda proposes to functionalize neural networks for robotic systems, resulting in a product with the following innovative features: Low-code programming, allowing the functions of robots to be changed quickly and adjusted to any industrial context; Inclusion of perception systems based on computer vision, AI and sensorial fusion, ensuring fast adaptability of the robotic system; Development and addition of new dimensions, positions, colours and other relevant information around the AI layer, enabling interpretation and anticipation of problems/accidents with human interaction; Maximization of performance, adaptability and f lexibility of production line, via AI. PPS12- Automated control systems for high-precision part handling In a highly competitive environment such as the automotive industry, product customization is one of the newest selling arguments to attract customers and distinguish from the competition. In this context, increasingly f lexible autonomous vehicle production processes are required. Thus, the GreenAuto Agenda proposes the development of an automated control system for high-precision parts handling, incorporating differentiating features, namely: New production models of maximum flexibility, through the integration of flexible automation principles that adapt to real productive environments; Development of robust products with new technological content in the field of parts handling, artificial vision, precision robotics; Improvements in precision and/or speed in relation to manual processes, through the definition of routine algorithms, applicable to assembly, logistics or hardware areas. PPS13- Collaborative robotic systems for the assembly line The changes in the automotive industry regarding the electrification of products and processes are the source of an increasing demand for more flexible, advanced and interactive robotic systems, capable of collaborating in processes where operator presence is imperative. Thus, the GreenAuto Agenda proposes the development of a new collaborative robotic systems for the automotive industry, incorporating the following innovative features: Robotic system with AI algorithms, artificial vision supported by advanced sensors, for indexing doors for the assembly line; Collaborative clamping system for assembly of the front engine protection, using tasks with 2 distinct types of torque; Fully automated collaborative system for parts replacement on assembly islands, with ability to detect the needs according to the production cadence