The aim of the AURRERA project is to generate a paradigm shift in advanced manufacturing with robots to provide flexibility to generic installations through the automatic generation of trajectories in product manufacturing processes regardless of their geometry. In order to achieve the main objective of the project, the AURRERA consortium has defined the following specific objectives that will lead to different particular results: - Develop advanced algorithm for automatic trajectory generation. - Implement...

This project presents an intelligent crutch that enables continuous and personalized diagnosis of patients with functional mobility impairment. The proposed solution is based on Neural Sensors and Personalized Diagnostic Virtual Sensors, all of them designed using different Artificial Intelligence techniques, such as Spiking Neural Networks and Anomaly Detection techniques. As a result, a personalized diagnosis will make it easier for therapists to establish better and more precise personalized therapies, with the...

A HardWare Implementation of the PWM inspired encoding/decoding algorithm (IHA-PWM). A new supervised training approach of SNN for regression based on both backpropagation and PWM inspired encoding/decoding algorithm. Define the specification for a neuromorphic HardWare implementation of both IHA-PWM and the new supervised training algorithm.