Reconfigurable hardware evolution platform for a spiking neural network robotics controller

Patrick Rocke; Brian McGinley; Fearghal Morgan; John Maher

doi:10.1007/978-3-540-71431-6_36

Reconfigurable hardware evolution platform for a spiking neural network robotics controller

Patrick Rocke, Brian McGinley, Fearghal Morgan, John Maher

Electrical & Electronic Engineering

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

12 Citations (Scopus)

Abstract

This paper describes a platform for the hardware evolution of Spiking Neural Network (SNN) based robotics controllers on multiple Field Programmable Analogue Arrays (FPAAs). The SNN robotics controller, evolved using a GA, performs obstacle avoidance and navigation. A robotics simulator is used to evaluate the performance of the evolved hardware SNN. Simulated sonar data is input to FPAA neurons and the SNN returns motor control data to the simulator. Initial results indicate the emergence of effective navigation behavior.

Original language	English
Title of host publication	Reconfigurable Computing
Subtitle of host publication	Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings
Publisher	Springer-Verlag
Pages	373-378
Number of pages	6
ISBN (Print)	3540714308, 9783540714309
DOIs	https://doi.org/10.1007/978-3-540-71431-6_36
Publication status	Published - 2007
Event	3rd International Workshop on Applied Reconfigurable Computing, ARC 2007 - Mangaratiba, Brazil Duration: 27 Mar 2007 → 29 Mar 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4419 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Applied Reconfigurable Computing, ARC 2007
Country/Territory	Brazil
City	Mangaratiba
Period	27/03/07 → 29/03/07

Keywords

Evolutionary computation
FPAA
Genetic algorithm
Reconfigurable hardware
Spiking neural networks

Access to Document

10.1007/978-3-540-71431-6_36

Cite this

Rocke, P., McGinley, B., Morgan, F., & Maher, J. (2007). Reconfigurable hardware evolution platform for a spiking neural network robotics controller. In Reconfigurable Computing: Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings (pp. 373-378). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4419 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-540-71431-6_36

Rocke, Patrick ; McGinley, Brian ; Morgan, Fearghal et al. / Reconfigurable hardware evolution platform for a spiking neural network robotics controller. Reconfigurable Computing: Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings. Springer-Verlag, 2007. pp. 373-378 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes a platform for the hardware evolution of Spiking Neural Network (SNN) based robotics controllers on multiple Field Programmable Analogue Arrays (FPAAs). The SNN robotics controller, evolved using a GA, performs obstacle avoidance and navigation. A robotics simulator is used to evaluate the performance of the evolved hardware SNN. Simulated sonar data is input to FPAA neurons and the SNN returns motor control data to the simulator. Initial results indicate the emergence of effective navigation behavior.",

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Rocke, P, McGinley, B, Morgan, F & Maher, J 2007, Reconfigurable hardware evolution platform for a spiking neural network robotics controller. in Reconfigurable Computing: Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4419 LNCS, Springer-Verlag, pp. 373-378, 3rd International Workshop on Applied Reconfigurable Computing, ARC 2007, Mangaratiba, Brazil, 27/03/07. https://doi.org/10.1007/978-3-540-71431-6_36

Reconfigurable hardware evolution platform for a spiking neural network robotics controller. / Rocke, Patrick; McGinley, Brian; Morgan, Fearghal et al.
Reconfigurable Computing: Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings. Springer-Verlag, 2007. p. 373-378 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4419 LNCS).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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AB - This paper describes a platform for the hardware evolution of Spiking Neural Network (SNN) based robotics controllers on multiple Field Programmable Analogue Arrays (FPAAs). The SNN robotics controller, evolved using a GA, performs obstacle avoidance and navigation. A robotics simulator is used to evaluate the performance of the evolved hardware SNN. Simulated sonar data is input to FPAA neurons and the SNN returns motor control data to the simulator. Initial results indicate the emergence of effective navigation behavior.

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Rocke P, McGinley B, Morgan F, Maher J. Reconfigurable hardware evolution platform for a spiking neural network robotics controller. In Reconfigurable Computing: Architectures, Tools and Applications - Third International Workshop, ARC 2007 Proceedings. Springer-Verlag. 2007. p. 373-378. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-71431-6_36

Reconfigurable hardware evolution platform for a spiking neural network robotics controller

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