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Phoenix SIGNED

Exploring the Unknown through Reincarnation and Co-evolution

Total Cost €

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EC-Contrib. €

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Partnership

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 Phoenix project word cloud

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

universe    environmental    co    modern    loops    maximize    character    cutting    shed    generational    outer    water    human    local    models    reward    oceans    humans    assesses    fet    evolution    interface    underground    evolve    labour    size    extremely    agent    direct    evolutionary    risky    edge    environment    risk    representations    agents    division    line    question    fit    generation    difficult    suitable    loop    captured    perfect    versatile    phoenix    optimized    model    emergent    virtual    deploys    physical    organization    initiates    until    inner    co2    light    exploring    sites    world    radically    societal    retrieves    status    environments    foundational    waste    self    develops    refined    holds    discover    autonomous    deployment    limited    exploration    gathering    penetrating    fukushima    depths    storage    hardware    unknown    promise    abstract    starts    edges    inaccessible    unsolved    nested    software    progressively    reactor    benefits    operate    ready    framework   

Project "Phoenix" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT EINDHOVEN 

Organization address
address: GROENE LOPER 3
city: EINDHOVEN
postcode: 5612 AE
website: www.tue.nl/en

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 Netherlands [NL]
 Project website http://www.phoenix-project.eu
 Total cost 3˙632˙486 €
 EC max contribution 3˙632˙486 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-2014-2015-RIA
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-10-01   to  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) coordinator 1˙489˙296.00
2    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 880˙750.00
3    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 868˙833.00
4    INCAS 3 NL (ASSEN) participant 236˙999.00
5    ANTEA NEDERLAND BV NL (HEERENVEEN) participant 68˙704.00
6    RIJKSUNIVERSITEIT GRONINGEN NL (GRONINGEN) participant 50˙171.00
7    UNIVERSITA DEGLI STUDI DI TRENTO IT (TRENTO) participant 32˙731.00
8    STICHTING VU NL (AMSTERDAM) participant 5˙000.00

Map

 Project objective

Humans have been exploring the world from the depths of the oceans to the edges of the universe. Yet many environments remain inaccessible, even to modern cutting-edge technology. Therefore problems like exploring the status of waste water under the Fukushima reactor, or discover suitable sites for underground CO2 storage remain unsolved.

Our aim is to investigate a new line of technology that will enable the exploration of difficult-to-access environments exploiting a risky, highly-novel approach called PHOENIX.

PHOENIX will accomplish the exploration of inaccessible environments with physical agents that are extremely limited in size and resources, and can operate without direct control over software and hardware. PHOENIX starts with processing a user question, then assesses available knowledge and initiates an evolutionary process involving two nested generational loops. In the outer loop PHOENIX develops, deploys and retrieves physical agents capable of penetrating the inaccessible environment and gathering information. Based on this knowledge, a model of the unknown environment is developed and evaluated. This model is refined in the inner loop, where environmental models and abstract representations of the physical agents (virtual agents) co-evolve in a virtual world until an improved generation of physical agents is ready for deployment. The goal of this co-evolution is to maximize the information captured about the unknown environment by progressively optimized agents.

Our main objectives are: the development of a co-evolutionary framework, the design of versatile agent technology and the development of a dedicated human interface.

PHOENIX is a radically new, high risk/high reward project. It also holds the promise to shed light on emergent properties of self-organization, local adaptation and division of labour in autonomous systems. The high societal benefits, foundational character and long-term focus make PHOENIX a perfect fit for the FET programme.

 Deliverables

List of deliverables.
Implementation and verification of critical hardware Other 2020-04-25 07:04:07
Development of novel sensing, fusion and wake-up principles Documents, reports 2020-04-25 07:04:07
Dissemination workshop 2 Other 2020-04-25 07:04:07
Full system concept validation and implementation Other 2020-04-25 07:04:07
Report on validation of PHOENIX Approach Documents, reports 2020-04-25 07:04:07
Models of sensing/comm./localization/actuation trade-offs Other 2020-04-25 07:04:05
Dissemination workshop 1 Other 2020-04-25 07:04:06
Instinct design and implementation description Documents, reports 2020-04-25 07:04:06
Definition of the agents’ instincts and related algorithms Documents, reports 2020-04-25 07:04:05
Open template ontologies for knowledge representation Other 2020-04-25 07:04:06
Co-evolutionary schemes Documents, reports 2020-04-25 07:04:05
Technology analysis Documents, reports 2020-04-25 07:04:05
Knowledge elicitation techniques analysis Documents, reports 2020-04-25 07:04:06
Merged sensing/communication/localization/actuation concepts Documents, reports 2020-04-25 07:04:05
Full agent top-level architecture and executable model Other 2020-04-25 07:04:06
Mixed-signal sensor fusion/processing chain Documents, reports 2020-04-25 07:04:06
Versatile agent hardware architecture Documents, reports 2020-04-25 07:04:05
Public project website Other 2020-04-25 07:04:05
Environment and agent abstraction layers Documents, reports 2020-04-25 07:04:05

Take a look to the deliverables list in detail:  detailed list of Phoenix deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Stephan Schlupkothen and Gerd Ascheid
Particle Filter Based Tracking of Highly Agile Wireless Agents via Random Input Sampling
published pages: , ISSN: , DOI:
2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) 2020-04-25
2018 Stephan Schlupkothen, Gerd Ascheid
Localization of ambiguously identifiable wireless agents: complexity analysis and efficient algorithms
published pages: p 30, ISSN: 1687-6180, DOI: 10.1186/s13634-018-0548-6
EURASIP Journal on Advances in Signal Processing 2018/1 2020-04-25
2019 Anil Yaman, Giovanni Iacca, Fabio Caraffini
A comparison of three differential evolution strategies in terms of early convergence with different population sizes
published pages: 20002, ISSN: , DOI: 10.1063/1.5089969
AIP Conference Proceedings volume 2070 2020-04-25
2018 Karine Miras, Evert Haasdijk, Kyrre Glette, A.E. Eiben
Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors
published pages: 224-231, ISSN: , DOI: 10.1162/isal_a_00047
The 2018 Conference on Artificial Life 2020-04-25
2018 Haoming Xin, Martin Andraud, Peter Baltus, Eugenio Cantatore, Pieter Harpe
A 174 pW–488.3 nW 1 S/s–100 kS/s All-Dynamic Resistive Temperature Sensor With Speed/Resolution/Resistance Adaptability
published pages: 70-73, ISSN: 2573-9603, DOI: 10.1109/lssc.2018.2827883
IEEE Solid-State Circuits Letters 1/3 2020-04-25
2019 Yaman, Anil; Iacca, Giovanni; Mocanu, Decebal Constantin; Fletcher, George; Pechenizkiy, Mykola
Learning with Delayed Synaptic Plasticity
published pages: , ISSN: , DOI:
Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO \'19 1 2020-04-25
2017 Hallawa, A., Schlupkothen, S., Iacca, G., & Ascheid, G.
Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization
published pages: pp. 1721-1726, ISSN: , DOI:
Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, July 2020-04-25
2018 Sina Sadeghpour, Robert Puers
Optimization in the Design and Fabrication of a PZT Piezoelectric Micromachined Ultrasound Transducer (PMUT)
published pages: 743, ISSN: 2504-3900, DOI: 10.3390/proceedings2130743
Proceedings 2/13 2020-04-25
2018 D.R. Rantong et al.
Sensor motes in a multiphase medium
published pages: , ISSN: , DOI:
2020-04-25
2019 A. Hallawa, T. Rahman, G. Iacca, G. Ascheid
Morphological Evolution for Pipe Inspection Using ROS
published pages: , ISSN: , DOI:
Proc. of KomPlasTech 2019 2020-04-25
2019 Fabio Caraffini, Giovanni Iacca, Anil Yaman
Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
published pages: 20004, ISSN: , DOI: 10.1063/1.5089971
AIP Conference Proceedings volume 2070 2020-04-25
2019 Haoming Xin, Martin Andraud, Peter Baltus, Eugenio Cantatore, Pieter Harpe
A 0.1-nW–1-$mu$ W Energy-Efficient All-Dynamic Versatile Capacitance-to-Digital Converter
published pages: 1841-1851, ISSN: 0018-9200, DOI: 10.1109/jssc.2019.2902754
IEEE Journal of Solid-State Circuits 54/7 2020-04-25
2019 Sina Sadeghpour, Sebastian Meyers, Jean-Pierre Kruth, Jozef Vleugels, Michael Kraft, Robert Puers
Resonating Shell: A Spherical-Omnidirectional Ultrasound Transducer for Underwater Sensor Networks
published pages: 757, ISSN: 1424-8220, DOI: 10.3390/s19040757
Sensors 19/4 2020-04-25

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

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