Projects

AI4HealthyAging is a project aimed at the early detection of diseases derived from aging through Artificial Intelligence. Its execution is carried out through a public-private consortium formed by 15 entities. The resulting intelligent system (AI) will serve as a decision support for elderly patients with diseases such as heart failure, stroke, sarcopenia, Parkinson’s disease, hearing loss, among others.

The project is funded under the R&D Missions in Artificial Intelligence 2021 program of the Ministry of Economic Affairs and Digital Transformation (MIA.2021.M02.0007) and is part of the Digital Spain 2025 agenda and the National Artificial Intelligence Strategy. It will be funded by the European Union through the Next Generation EU funds

The aim of Assist Control project is to deploy new control strategies for gait assistance using the Exo-H3 Eurobench lower limb exoskeleton and assess its performance. At least, the consortium proposes to deploy two control strategies for gait assistance, autonomous walking and rehabilitation. These controllers are previously validated through dynamic modeling simulation of the exoskeleton-human system; the collected data and the reports of obtained results from the tests are delivered and made available to enrich the Eurobench databases.

This project has indirectly received funding from the European Union’s Horizon 2020 research and innovation programme, via an Open Call issued and executed under project EUROBENCH (grant agreement No. 779963)

EXTEND aims at developing the novel concept of Bidirectional Hyper-Connected Neural Systems (BHNS) to extend the capabilities of neural interfaces with minimally invasive communication links between multiple nerves in the body and multiple external devices. EXTEND will realise BHNS by developing disruptive wireless neuromuscular (injectable) interface technology that enables distributed stimulation, sensing, processing and analysis of neuromuscular activity, the ultimate stance of the neural code of movement.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779982.

ColRobot combines cutting-edge European robot technology and end-user requirements for assembly processes to create an integrated system for collaborative robotics in which a mobile manipulator acts as a “third hand” by delivering kits, tools, parts, and holding work pieces while the operator works on it. Humans will cognitively and physically interact with ColRobot robots using gestures, touch commands and demonstrations.

Funded by the European Commission under Grant Agreement: H2020-ICT-2015-688807

The major drawbacks of existing walking bipeds are related to stability, energy consumption, and robustness to unknown disturbances. The goal of H2R project is to demonstrate human-like gait and posture in a controlled compliant biped robot as a result of a combination of the most relevant motor control and cognitive mechanisms found in humans.

Funded by the European Commission under Grant Agreement: FP7-ICT-2011.2.1-600698

TRAM Project is an experimental development that seeks for the development of a software solution able to manage the rehabilitaiton of patients with any kind of motor dysfunction and able to monitorize the patient’s condition and evolution at home as well as at the Hospital’s facilities

The main objective of the project is to validate, technically, functionally and clinically, the concept of mechanically suppressing tremor through selective Functional Electrical Stimulation (FES) based on a (Brain-to-Computer Interaction) BCI-driven detection of involuntary (tremor) motor activity. TREMOR proposes a multimodal BCI in which the main goal is identifying, characterizing and tracking involuntary motor bioelectrical activity as a command to trigger a biomechanical suppression of tremor. FP7-ICT-2007-2-224051

Youtube Channel: http://www.youtube.com/user/proyectoTremor?feature=c4-feed-u