In the last few decades, robotic devices have been proposed as an alternative to traditional rehabilitation procedures. Longer treatments, repeatability, adaptability, cost-effectiveness and the possibility to analyze the patient progress, are some of their benefits. One of the most important issues in rehabilitation robotics is the design of control approaches for proper and safe user interaction. Thus, the aim of the project is to design and implement a suitable advanced control structure for rehabilitation robots.

Parallel robots have proven to be the best alternative for dynamic high performance applications in which we need to manipulate powerful changes, apply controlled forces efficiently or move objects at high speed. For this, we require a correct mechanical design as well as an adequate controller that can be executed on real-time. Thus, the aim of the project is to develop specific control techniques for parallel robots in high dynamic performance applications.

As part of the grinding process, the aim of this project is to implement a hybrid model in which the artificial neural networks are a necessary complement to the analytic models.  In particular, this approach allows for obtaining parameters of the models that are closer to reality and that allow for, as well as improved knowledge of the process, better simulation of its behaviour with the waiting time of the machine. transfer rumours Thus, we propose the design of an intelligent system capable of estimating the...