ASKLEPIOS aims to develop an intelligent robotic system able to adapt, learn and improve as to deliver optimal personalized multi-modal therapies for patients with neuromotor deficit of different causes.
According to the Project Call Objectives ASKLEPIOS will focus on new fundamental research on:
(R1) – New, anthropometrically adaptable, and cost-effective family of modular robotic systems
(R2) – A fundamentally new approach in human – robot – doctor interaction by integrating a multimodal array of neurophysiologic methods
(R3) – A fundamentally new adaptive modular control solution including a layer of neural networks/AI agents to deliver dynamically adaptable personalized treatment plans.
The implementation team is headed by Eng. Jose MACHADO, which will come from the Mechanical Engineering Department of University of Minho, Portugal, which joins the team from the Research Center for Industrial Robots Simulation and Testing (CESTER), within the Technical University of Cluj-Napoca, Romania, in the ambitious quest of ASKELPIOS.
The main objective of ASKELPIOS
ASKLEPIOS aims to develop an intelligent robotic system able to adapt, learn and improve as to deliver optimal personalized multi-modal treatments for patients with neuromotor deficit of different causes.