GreenAuto 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 flexibility of production line, via AI.

Responsável do Projeto: Paulo Menezes