#	Pagina
attuale pagina	/open-h2020/projects/207811/index.html

Opendata, web and dolomites

BIOMODULAR

A Biomimetic Learning Control Scheme for control of Modular Robots

Total Cost €

EC-Contrib. €

Partnership

Views

Outcomes and
results

BIOMODULAR project word cloud

Explore the words cloud of the BIOMODULAR project. It provides you a very rough idea of what is the project "BIOMODULAR" about.

perform candidate biological involvement neuromorphic tum machine dtu fine computing basis robots scientific sensory incorporate forefront plausible memories input receives spectrum behaviors insights vice hardware expertise brain pursues training aforementioned environment leads topology predictive structure mechanisms bio groups first uses performance spiking desired run modular computational learning scheme signals ugr artificial implementing techniques latter versa merge skill paradigms emulating extracts contributions motor time inspired fulfilling model purpose networks position agent cellular body embodied understand collaborations multiple manufacturing plays fable benefit cerebellar interplay adaptive robotic discovery behavior cerebellum human biologically

Project "BIOMODULAR" data sheet

The following table provides information about the project.

Coordinator	DANMARKS TEKNISKE UNIVERSITET Organization address address: ANKER ENGELUNDSVEJ 1 BYGNING 101 A city: KGS LYNGBY postcode: 2800 website: www.dtu.dk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Denmark [DK]
Project website	https://bioroboticsdtu.wordpress.com/
Total cost	212˙194 €
EC max contribution	212˙194 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2015
Funding Scheme	MSCA-IF-EF-ST
Starting year	2017
Duration (year-month-day)	from 2017-02-01 to 2019-01-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	DANMARKS TEKNISKE UNIVERSITET DANMARKS TEKNISKE UNIVERSITET Organization address address: ANKER ENGELUNDSVEJ 1 BYGNING 101 A city: KGS LYNGBY postcode: 2800 website: www.dtu.dk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (KGS LYNGBY)	coordinator	212˙194.00

Map

Project objective

Motor control is a very important feature in the human brain for the performance of a motor skill. The biological basis of this feature can be better understood by emulating the cerebellar mechanisms of learning. The cerebellum plays a key role in implementing fine motor control, since it extracts the information from sensory-motor signals and uses it to respond to the environment. The purpose of this project is to benefit from the interplay between a body agent and an embodied artificial brain to understand the role of the first in the behavior of the latter and vice versa. The project aims to build a novel bio-inspired computational learning model for modular robots, and to incorporate it into a biologically plausible control scheme. The aforementioned model will merge machine learning techniques and a spiking modular cerebellum to develop a process that leads to the formation of long-term motor memories. Novel modular robots, such as Fable, will benefit from this adaptive predictive control system to perform desired, task-fulfilling behaviors. Exploiting this approach, the project pursues the discovery of important insights into the modular structure of the cerebellum, and its involvement in processing the sensory input for motor control tasks. The project will be developed at DTU with a run time of two years and will benefit from collaborations with other research groups (UGR and TUM). Their long expertise in neuromorphic computing and spiking networks will ensure that the candidate receives scientific training related to these fields (e.g. about cerebellar topology and cellular properties, and implementation of spiking networks in hardware). By providing multiple relevant contributions across the spectrum of the H2020 objectives in terms of its potential to advance robotic manufacturing, brain processing understanding, and novel computing paradigms, this project will enable the candidate to enhance her position at the forefront of advances in this fields.

Publications

List of publications.
year	authors and title	journal	last update
2019	Silvia Tolu, Marie Claire Capolei, Lorenzo Vannucci, Cecilia Laschi, Egidio Falotico, Mauricio Vanegas Hernandez A Cerebellum-Inspired Learning Approach for Adaptive and Anticipatory Control published pages: , ISSN: 0129-0657, DOI: 10.1142/s012906571950028x	International Journal of Neural Systems	2019-10-14
2019	Corchado, C., Antonietti, A., Capolei, M. C., Casellato, C., & Tolu, S. Integration of Paired Spiking Cerebellar Models for Voluntary Movement Adaptation in a Closed-Loop Neuro-Robotic Experiment. A Simulation Study. published pages: , ISSN: , DOI:	In Proceedings of 2019 IEEE International Conference on Cyborg and Bionic Systems	2019-10-14
2019	Marie Claire Capolei, Nils Axel Andersen, Henrik Hautop Lund, Egidio Falotico, Silvia Tolu A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment published pages: 1-1, ISSN: 2377-3766, DOI: 10.1109/lra.2019.2943818	IEEE Robotics and Automation Letters	2019-10-14
2019	Elisa Massi, Lorenzo Vannucci, Ugo Albanese, Marie Claire Capolei, Alexander Vandesompele, Gabriel Urbain, Angelo Maria Sabatini, Joni Dambre, Cecilia Laschi, Silvia Tolu, Egidio Falotico Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2019.00071	Frontiers in Neurorobotics 13	2019-09-09
2019	Marie Claire Capolei, Emmanouil Angelidis, Egidio Falotico, Henrik Hautop Lund, Silvia Tolu A Biomimetic Control Method Increases the Adaptability of a Humanoid Robot Acting in a Dynamic Environment published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2019.00070	Frontiers in Neurorobotics 13	2019-09-09
2018	Capolei, Marie Claire; Falotico, Egidio; Lund, Henrik Hautop ; Tolu, Silvia Distributed and Modular Bio-Inspired Architecture for Adaptive Motor Learning andControl published pages: 92-97, ISSN: , DOI:	The Neural Bases of Action: from cellular microcircuits to large-scale networks and modelling	2019-09-09
2017	Ismael Baira Ojeda, Silvia Tolu, Henrik H. Lund A Scalable Neuro-inspired Robot Controller Integrating a Machine Learning Algorithm and a Spiking Cerebellar-like Network published pages: 375-386, ISSN: 0302-9743, DOI: 10.1007/978-3-319-63537-8_31	Lecture Notes in Computer Science	2019-07-25

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIOMODULAR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BIOMODULAR" are provided by the European Opendata Portal: CORDIS opendata.