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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

22 Citations (Scopus)

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 languageEnglish
Title of host publication2004 IEEE International Conference on Field-Programmable Technology, 2004. Proceedings.
PublisherIEEE
Pages449-452
Number of pages4
ISBN (Print)0-7803-8651-5
DOIs
Publication statusPublished - 14 Feb 2005
EventIEEE International Conference on Field-Programmable Technology - Brisbane, Australia
Duration: 6 Dec 20048 Dec 2004

Conference

ConferenceIEEE International Conference on Field-Programmable Technology
CountryAustralia
CityBrisbane
Period6/12/048/12/04

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

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  • Cite this

    Bellis, S., Razeeb, K. M., Saha, C., Delaney, K., O'Mathuna, C., Pounds-Cornish, A., ... 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