Bidirectional Hyper-Connected Neural System
Dates: From 2018-01-01 to 2021-12-31
Current brain and neural interfacing technologies still face significant limitations to become accessibility tools that can benefit people. On the one hand, non-invasive neural interface technology (e.g. EEG, EMG) is intrinsically unidirectional and of limited capacity. On the other hand, invasive technology (e.g. percutaneous EMG, implanted nerve electrodes or intracranial electroencephalography) while allowing two-directionality and better performance still relies on complex surgical procedures.
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.
The EXTEND project will showcase the advantages of this new technology in two applications: (1) tremor management in essential tremor (ET) and Parkinson disease (PD), and (2) neural interfaced assistive wearable robots for spinal cord injury (SCI). EXTEND will also work towards a community hub that brings together stakeholders to create an innovation ecosystem that can nurture the fast development of neural interfaces around the new concept.
Funded by H2020 Topic ICT 23-2017: “Interfaces for accessibility”. Reference: 779982
EUropean ROBotic framework for bipedal locomotion bENCHmarking
Dates: From 2018-01-01 to 2021-12-31
The EUROBENCH project aims at creating the first benchmarking framework for robotic systems in Europe. The framework will allow companies and researchers to test the performance of robots at any stage of development. The project will primarily focus on bipedal machines, i.e. exoskeletons, prosthetics and humanoids, but will be designed to be easily extended to other robotic domains. The EUROBENCH framework will be composed of:
– A methodological component, which will include methods and metrics to calculate the System Ability Levels of a robotic system. These methods will be integrated in a professional software tool to permit its wide use across domains and laboratory conditions. The main goal of this unified software is to facilitate the use of benchmarking methodology at all levels from research to pre-commercial prototyping.
– An experimental component, which will concentrate the state-of-the-art test benches in two facilities, one for wearable robots (including exoskeletons and prostheses), and one for humanoid robots. These facilities will allow companies and researchers to perform standardized tests on advanced robotic prototypes in a unique location, saving resources and time, and preparing for certification processes.
Funded by H2020 Topic ICT 27-2017: “System abilities, SME & benchmarking actions, safety certification”. Reference: 779963
Inclusive Robotics for a better society
Dates: From 2018-01-01 to 2020-12-31
The main challenge that INBOTS wants to overcomes is the lack of a clear understanding and communication between all the involved stakeholders. These limitations hinder current efforts to successfully discuss and agree on the many important technical and non-technical aspects in the field. Therefore, with the purpose of optimizing the outcomes of the coordinate and support action, INBOTS will focus mainly on Interactive Robots, which we define as any robot that is interacting in close proximity with humans.
In this context, the overall objective of this project is to create a community hub that can bring together experts to debate and create a responsible research and innovation paradigm for robotics. To this end, INBOTS provides a platform to establish a working synergy between four pillars that covers all stakeholders in Interactive Robotics: the technical expertise pillar, the business expertise pillar, the ethical, legal and socioeconomic expertise pillar, as well as the end-users, policy makers and general public pillar. Therefore, the project strives at coordinating and supporting actions aimed at building bridges among these pillars to promote debate and create a responsible research and innovation paradigm that will potentiate EU leadership on robotics.
Funded by H2020 Topic ICT 28-2017: “Robotics Competitions, coordination and support”. Reference: 780073
Red Iberoamericana de Rehabilitación y Asistencia de Pacientes con Daño Neurológico mediante Exoesqueletos Robóticos de Bajo Coste
Dates: From 2016-01-01 to 2019-12-31
Los pacientes con daño neurológico son un colectivo muy desfavorecido en Iberoamérica al que no se ha dedicado hasta la fecha un esfuerzo coordinado transnacional y multidisciplinar de centros clínicos, centros de investigación, universidades y empresas. El daño neurológico es una de las principales causas de discapacidad, siendo el número de personas con discapacidad en Iberoamérica superior a los 72 millones (afectando aproximadamente al 11% de la población total de Iberoamérica). El objetivo general de esta red temática es establecer un amplio foro de trabajo para posibilitar y facilitar la cooperación y el intercambio de conocimiento entre actores implicados de Iberoamérica que trabajan en el campo de la rehabilitación y asistencia de pacientes con daño neurológico. La red se articula en torno al desarrollo de uno o varios exoesqueletos robóticos (ERs) para mejorar la rehabilitación y asistencia de pacientes con daño neurológico. De este modo, una vez finalizada la red, se dispondrá de varios ERs que podrán ser utilizados por centros clínicos en terapias de rehabilitación y de asistencia a pacientes con daño neurológico. Si bien las personas que se beneficiarán en primer lugar de los desarrollos de esta red son el colectivo de pacientes con daño neurológico, los ERs de la red podrían ser empleados para mejorar la salud de pacientes con otras patologías, como por ejemplo, pacientes con poliomelitis o botulismo.
Funded by Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo (CYTED). Reference: 216RT0504
Advancing Smart Optical Imaging and Sensing for Health
Dates: From 2016-06-01 to 2019-05-31
ASTONISH will deliver breakthrough imaging and sensing technologies for monitoring, diagnosis and treatment applications. Miniaturized optical components, data processing units and SW applications will be integrated into smart imaging systems that lower cost of care and increase Quality of Life . The ASTONISH project contributes with tangible results to the ECSEL Smart Health and Smart Systems Integration key applications and technologies.
Funded by the European Commission under Grant Agreement: H2020-EU.220.127.116.11. – ECSEL – 692470
European advanced exoskeleton for rehabilitation of Acquired Brain Damage (ABD) and/or spinal cord injury’s patients
Dates: From 2016-03-01 to 2018-02-28
HANK gives to the rehabilitation doctors and physiotherapist the opportunity to use the best movement strategy for each patient, thanks to its independent control system for each articulation (hip, knee and ankle). Having the ankle joint control, HANK allows to the patients a smoother movement. The project is clearly business-oriented, aiming to covers the required steps to pass from the current stage of the technology (TRL 7 – system prototype demonstrated in operational environment -) until TRL9, and to pilots the successful launching of this new product to the market.
Funded by the European Commission under Grant Agreement: H2020-EU.2. – PRIORITY ‘Industrial leadership’. H2020-EU.3. – PRIORITY ‘Societal challenges –699796
A comprehensive and wearable robotics based approach to the rehabilitation and assistance to people with stroke and spinal cord injury
Dates: From 2015-01-01 to 2018-12-31
The first objective of the project is to validate the effectiveness of a novel intervention to promote motor control re-learning in neurological patients by means of an associated use of motor planning at brain level, sensory stimulation at cortical level and afferent feedback provided with a wearable lower extremity exoskeleton.
The second objective of the project is to validate the effectiveness of a novel lower extremity wearable exoskeleton with embodied intelligence and enhanced self-learning characteristics in the assistance to locomotion in complete and incomplete SCI in terms of reduced learning periods, improved adaptation and more versatile and dextrous operation.
Funded by the Spanish Ministry of Economy and Competitiveness under Agreement: DPI2014-58431-C4-1-R