{"id":2010,"date":"2021-03-09T18:18:00","date_gmt":"2021-03-09T18:18:00","guid":{"rendered":"https:\/\/www.rtc.us.es\/?page_id=2010"},"modified":"2021-12-01T16:27:57","modified_gmt":"2021-12-01T16:27:57","slug":"mind-rob","status":"publish","type":"page","link":"https:\/\/grupo.us.es\/rtclab\/neuromorphic-engineering\/mind-rob\/","title":{"rendered":"MIND-ROB"},"content":{"rendered":"<h2 style=\"text-align: center;\">Neuro\u200bm\u200borphic Perception and Cognitio\u200bn\u200b \u00a0for High-Spee\u200bd\u200b Robotic Actuation<\/h2>\n<p style=\"text-align: justify;\">The \u200b NANO-MIND project is a coordinated project divided in three subprojects: NANO-MEM, MIND-ROB and ED-SenNIA. NANO-MIND proposes an ambitious development of low power neuromorphic sensing-computing-actuation systems including on-line learning techniques exploiting the sparseness and compression advantages of spike-based coding from the sensor to the actuation level. It also proposes to advance in the development of advanced event-based sensors, the development of low power hardware implementations of cognitive computing systems, the development of hybrid nano-memristive adaptive computing modules and the integration of the hardware modules in robotic demonstration platforms.<\/p>\n<p style=\"text-align: justify;\">Consequently, the project requires developments at different levels of abstraction, from low level custom hardware modules, digital programmable modules, computational algorithms up to mechanical and robotic control. The expertise at the different levels of abstraction of the project is not available in a single participating research group. However, the combination of the three involved groups creates the required synergies to successfully tackle all the different aspects proposed in the project.<\/p>\n<p style=\"text-align: justify;\">The UV group has experience designing CMOS full custom event based hardware sensors: vision and magnetic. The IMSE group has experience designing event-based processors both in full custom CMOS technologies and digital programmable hardware. It has also proposed at a theoretical level hybrid CMOS-memristive neuromorphic learning systems and it has contributed to the theoretical development of event-based computing systems. The Robotic and Technology of Computers group in Seville (RTC) has experience in neuromorphic robotics control, audio processing and embedded co-design systems.<\/p>\n<p style=\"text-align: justify;\">Furthermore, the combination of the three groups contribute to strengthen the position and visibility of the spanish research in the Neuromorphic Engineering international community which is currently one important research focus of the EU-funding scheme as demonstrated by the recent call FETPROACT-02-2018: Community building in Neuromorphic Computing Technologies and the upcoming call FETPROACT-09-2020: Neuromorphic\u00a0computing technologies.<\/p>\n<p style=\"text-align: justify;\">The \u200b NANO-MIND project ambition is to develop an efficient technology for perception, cognition and actuating AI\u00a0systems based on asynchronous real-time generation, communication, processing and learning of events, where\u00a0the events are abstract representations of biological spikes. The project will advance on developing sensors\u00a0providing an efficient event-based representation of the signal, developing event-based processing and learning architectures and the corresponding cmos-memristive low power computation-in-memory hardware\u00a0implementations, and developing event-based motor control strategies. The developed AI event-based technology will be integrated in several demonstrating platforms where the benefits of the technology can be benchmarked with solutions offered by other state-of-art event-based as well as conventional technologies.<\/p>\n<p style=\"text-align: justify;\">The \u200b general objective of the present project \u200b NANO-MIND is to develop an efficient technology for AI sensing,\u00a0processing and actuating systems based on the asynchronous real-time generation, communication, processing\u00a0and learning of events. The project will contribute by developing sensors providing an efficient event-based\u00a0representation of the signal, developing event-based processing and learning architectures and the corresponding\u00a0cmos-memristive low power computation-in-memory hardware implementations, and developing event-based\u00a0motor control strategies. The developed AI event-based technology will be integrated in several demonstrators where the benefits of the technology can be benchmarked with solutions offered by other state-of-art\u00a0event-based as well as conventional technologies.<\/p>\n<p><a href=\"https:\/\/www.rtc.us.es\/wp-content\/uploads\/2021\/03\/MND-ROB.png\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-2011\" src=\"https:\/\/www.rtc.us.es\/wp-content\/uploads\/2021\/03\/MND-ROB.png\" alt=\"\" width=\"1039\" height=\"732\" srcset=\"https:\/\/grupo.us.es\/rtclab\/wp-content\/uploads\/2021\/03\/MND-ROB.png 1039w, https:\/\/grupo.us.es\/rtclab\/wp-content\/uploads\/2021\/03\/MND-ROB-300x211.png 300w, https:\/\/grupo.us.es\/rtclab\/wp-content\/uploads\/2021\/03\/MND-ROB-1024x721.png 1024w, https:\/\/grupo.us.es\/rtclab\/wp-content\/uploads\/2021\/03\/MND-ROB-768x541.png 768w\" sizes=\"(max-width: 1039px) 100vw, 1039px\" \/><\/a><\/p>\n<p><strong>PI:<\/strong> Alejandro Linares Barranco \u00a0\/ \u00a0\u00c1ngel Francisco Jim\u00e9nez Fern\u00e1ndez<br \/>\n<strong>Type:<\/strong> Plan Estatal 2017-2020 Generaci\u00f3n Conocimiento &#8211; Proyectos I+D+i<br \/>\n<strong>Reference:<\/strong> PID2019-105556GB-C33<br \/>\n<strong>Funding by:<\/strong> Ministerio de Ciencia, Innovaci\u00f3n y Universidades<br \/>\n<strong>Start date:<\/strong> 01-06-2020<br \/>\n<strong>End date:<\/strong> 31-05-2024<\/p>\n<p><strong>Researchers \/ Working group:<\/strong><br \/>\nClaudio Amaya Rodr\u00edguez<br \/>\nSalvador Canas Moreno<br \/>\nDaniel Cascado Caballero<br \/>\nElena Cerezuela Escudero<br \/>\nAnt\u00f3n Civit Balcells<br \/>\nFernando D\u00edaz del R\u00edo<br \/>\nJuan Pedro Dom\u00ednguez Morales<br \/>\nManuel Jes\u00fas Dom\u00ednguez Morales<br \/>\nJuan Pedro Dom\u00ednguez Morales<br \/>\nFrancisco G\u00f3mez Rodr\u00edguez<br \/>\nDaniel Guti\u00e9rrez Gal\u00e1n<br \/>\nGabriel Jim\u00e9nez Moreno<br \/>\nJuan Manuel Montes S\u00e1nchez<br \/>\nRafael Paz Vicente<br \/>\nFernando P\u00e9rez Pe\u00f1a (UCA)<br \/>\nEnrique Pi\u00f1ero Fuentes<br \/>\nJos\u00e9 Antonio R\u00edos Navarro<br \/>\nManuel Rivas P\u00e9rez<br \/>\nDolores V\u00e1zquez (IMSE)<br \/>\nSaturnino Vicente D\u00edaz<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neuro\u200bm\u200borphic Perception and Cognitio\u200bn\u200b \u00a0for High-Spee\u200bd\u200b Robotic Actuation The \u200b NANO-MIND project is a coordinated project divided in three subprojects: NANO-MEM, MIND-ROB and ED-SenNIA. NANO-MIND proposes an ambitious development of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":171,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/pages\/2010"}],"collection":[{"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/comments?post=2010"}],"version-history":[{"count":2,"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/pages\/2010\/revisions"}],"predecessor-version":[{"id":2044,"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/pages\/2010\/revisions\/2044"}],"up":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/pages\/171"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/rtclab\/wp-json\/wp\/v2\/media?parent=2010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}