FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents

S. Bellis; Kafil Mahmood Razeeb; C. Saha; Kieran Delaney; C. O'Mathuna; Anthony Pounds-Cornish; Gustavo de Souza; Martin Colley; Hani Hagras; Graham Clarke; V. Callaghan; C. Argyropoulos; C. Karistianos; G. Nikiforidis

doi:10.1109/FPT.2004.1393322

FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents

S. Bellis, Kafil Mahmood Razeeb, C. Saha, Kieran Delaney, C. O'Mathuna, Anthony Pounds-Cornish, Gustavo de Souza, Martin Colley, Hani Hagras, Graham Clarke, V. Callaghan, C. Argyropoulos, C. Karistianos, G. Nikiforidis

University College Cork

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

This work contains the results of an initial study into the FPGA implementation of a spiking neural network. This work was undertaken as a task in a project that aims to design and develop a new kind of tangible collaborative autonomous agent. The project intends to exploit/investigate methods for engineering emergent collective behaviour in large societies of actual miniature agents that can learn and evolve. Such multi-agent systems could be used to detect and collectively repair faults in a variety of applications where it is difficult for humans to gain access, such as fluidic environments found in critical components of material/industrial systems. The initial achievement of implementation of a spiking neural network on a FPGA hardware platform and results of a robotic wall following task are discussed by comparison with software driven robots and simulations.

Original language	English
Title of host publication	2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings.
Publisher	IEEE
Pages	449-452
Number of pages	4
ISBN (Print)	0-7803-8651-5
DOIs	https://doi.org/10.1109/FPT.2004.1393322
Publication status	Published - 14 Feb 2005
Event	IEEE International Conference on Field-Programmable Technology - Brisbane, Australia Duration: 6 Dec 2004 → 8 Dec 2004

Conference

Conference	IEEE International Conference on Field-Programmable Technology
Country/Territory	Australia
City	Brisbane
Period	6/12/04 → 8/12/04

Keywords

Field programmable gate arrays
Neural networks
Collaboration
Autonomous agents
Collaborative work
Service robots
Buildings
Multiagent systems
Fault detection
Humans
neural nets
multi-agent systems
field programmable gate arrays
software driven robots
FPGA implementation
spiking neural networks
tangible collaborative autonomous agents
collective behaviour
miniature agents
multiagent systems
fault repair
fluidic environments
material/industrial systems
FPGA hardware platform
robotic wall

Access to Document

10.1109/FPT.2004.1393322

Cite this

Bellis, S., Razeeb, K. M., Saha, C., Delaney, K., O'Mathuna, C., Pounds-Cornish, A., de Souza, G., Colley, M., Hagras, H., Clarke, G., Callaghan, V., Argyropoulos, C., Karistianos, C., & Nikiforidis, G. (2005). FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents. In 2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings. (pp. 449-452). IEEE. https://doi.org/10.1109/FPT.2004.1393322

FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents. / Bellis, S.; Razeeb, Kafil Mahmood; Saha, C. et al.
2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings.. IEEE, 2005. p. 449-452.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Bellis, S, Razeeb, KM, Saha, C, Delaney, K, O'Mathuna, C, Pounds-Cornish, A, de Souza, G, Colley, M, Hagras, H, Clarke, G, Callaghan, V, Argyropoulos, C, Karistianos, C & Nikiforidis, G 2005, FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents. in 2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings.. IEEE, pp. 449-452, IEEE International Conference on Field-Programmable Technology, Brisbane, Australia, 6/12/04. https://doi.org/10.1109/FPT.2004.1393322

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title = "FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents",

abstract = "This work contains the results of an initial study into the FPGA implementation of a spiking neural network. This work was undertaken as a task in a project that aims to design and develop a new kind of tangible collaborative autonomous agent. The project intends to exploit/investigate methods for engineering emergent collective behaviour in large societies of actual miniature agents that can learn and evolve. Such multi-agent systems could be used to detect and collectively repair faults in a variety of applications where it is difficult for humans to gain access, such as fluidic environments found in critical components of material/industrial systems. The initial achievement of implementation of a spiking neural network on a FPGA hardware platform and results of a robotic wall following task are discussed by comparison with software driven robots and simulations.",

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AB - This work contains the results of an initial study into the FPGA implementation of a spiking neural network. This work was undertaken as a task in a project that aims to design and develop a new kind of tangible collaborative autonomous agent. The project intends to exploit/investigate methods for engineering emergent collective behaviour in large societies of actual miniature agents that can learn and evolve. Such multi-agent systems could be used to detect and collectively repair faults in a variety of applications where it is difficult for humans to gain access, such as fluidic environments found in critical components of material/industrial systems. The initial achievement of implementation of a spiking neural network on a FPGA hardware platform and results of a robotic wall following task are discussed by comparison with software driven robots and simulations.

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ER -

FPGA implementation of spiking neural networks-an initial step towards building tangible collaborative autonomous agents

Abstract

Conference

Keywords

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