FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents
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 e...
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 452 |
|---|---|
| container_issue | |
| container_start_page | 449 |
| container_title | |
| container_volume | |
| creator | 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. |
| description | 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. |
| doi_str_mv | 10.1109/FPT.2004.1393322 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1393322</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1393322</ieee_id><sourcerecordid>1393322</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-44119d87ea6560961443d622dcdbf0b40c766ed65aab6fe81389d84052762c003</originalsourceid><addsrcrecordid>eNotkE9LAzEQxQMiqLV3wUu-wNb8391jKbYKBXuo55LdzJbYbLJsshb99Ebaufzg8eYNbxB6omRBKalf1rv9ghEiFpTXnDN2gx5IWRFeKUnlHZrH-EXy8FqUsr5Hv-vdZoltPzjowSedbPA4dDgO9mT9EXuYRu0y0jmMp4gLrD223iab1ZhgwCmc9WgibibrzP9K0v5oGwe4Dc7pJow59BuwnlLwoQ9TxPqYT8VHdNtpF2F-5Qx9rl_3q7di-7F5Xy23haWlTIUQlNamKkErqUitqBDcKMZMa5qONIK0pVJglNS6UR1UlFfZLohkpWJtbjpDz5dcCwCHYbS9Hn8O1_fwP47-XPA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>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.</creator><creatorcontrib>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.</creatorcontrib><description>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.</description><identifier>ISBN: 0780386515</identifier><identifier>ISBN: 9780780386518</identifier><identifier>DOI: 10.1109/FPT.2004.1393322</identifier><language>eng</language><publisher>IEEE</publisher><subject>Autonomous agents ; Buildings ; Collaboration ; Collaborative work ; Fault detection ; Field programmable gate arrays ; Humans ; Multiagent systems ; Neural networks ; Service robots</subject><ispartof>Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921), 2004, p.449-452</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1393322$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1393322$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bellis, S.</creatorcontrib><creatorcontrib>Razeeb, K.M.</creatorcontrib><creatorcontrib>Saha, C.</creatorcontrib><creatorcontrib>Delaney, K.</creatorcontrib><creatorcontrib>O'Mathuna, C.</creatorcontrib><creatorcontrib>Pounds-Cornish, A.</creatorcontrib><creatorcontrib>de Souza, G.</creatorcontrib><creatorcontrib>Colley, M.</creatorcontrib><creatorcontrib>Hagras, H.</creatorcontrib><creatorcontrib>Clarke, G.</creatorcontrib><creatorcontrib>Callaghan, V.</creatorcontrib><creatorcontrib>Argyropoulos, C.</creatorcontrib><creatorcontrib>Karistianos, C.</creatorcontrib><creatorcontrib>Nikiforidis, G.</creatorcontrib><title>FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents</title><title>Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921)</title><addtitle>FPT</addtitle><description>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.</description><subject>Autonomous agents</subject><subject>Buildings</subject><subject>Collaboration</subject><subject>Collaborative work</subject><subject>Fault detection</subject><subject>Field programmable gate arrays</subject><subject>Humans</subject><subject>Multiagent systems</subject><subject>Neural networks</subject><subject>Service robots</subject><isbn>0780386515</isbn><isbn>9780780386518</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE9LAzEQxQMiqLV3wUu-wNb8391jKbYKBXuo55LdzJbYbLJsshb99Ebaufzg8eYNbxB6omRBKalf1rv9ghEiFpTXnDN2gx5IWRFeKUnlHZrH-EXy8FqUsr5Hv-vdZoltPzjowSedbPA4dDgO9mT9EXuYRu0y0jmMp4gLrD223iab1ZhgwCmc9WgibibrzP9K0v5oGwe4Dc7pJow59BuwnlLwoQ9TxPqYT8VHdNtpF2F-5Qx9rl_3q7di-7F5Xy23haWlTIUQlNamKkErqUitqBDcKMZMa5qONIK0pVJglNS6UR1UlFfZLohkpWJtbjpDz5dcCwCHYbS9Hn8O1_fwP47-XPA</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Bellis, S.</creator><creator>Razeeb, K.M.</creator><creator>Saha, C.</creator><creator>Delaney, K.</creator><creator>O'Mathuna, C.</creator><creator>Pounds-Cornish, A.</creator><creator>de Souza, G.</creator><creator>Colley, M.</creator><creator>Hagras, H.</creator><creator>Clarke, G.</creator><creator>Callaghan, V.</creator><creator>Argyropoulos, C.</creator><creator>Karistianos, C.</creator><creator>Nikiforidis, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents</title><author>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.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-44119d87ea6560961443d622dcdbf0b40c766ed65aab6fe81389d84052762c003</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Autonomous agents</topic><topic>Buildings</topic><topic>Collaboration</topic><topic>Collaborative work</topic><topic>Fault detection</topic><topic>Field programmable gate arrays</topic><topic>Humans</topic><topic>Multiagent systems</topic><topic>Neural networks</topic><topic>Service robots</topic><toplevel>online_resources</toplevel><creatorcontrib>Bellis, S.</creatorcontrib><creatorcontrib>Razeeb, K.M.</creatorcontrib><creatorcontrib>Saha, C.</creatorcontrib><creatorcontrib>Delaney, K.</creatorcontrib><creatorcontrib>O'Mathuna, C.</creatorcontrib><creatorcontrib>Pounds-Cornish, A.</creatorcontrib><creatorcontrib>de Souza, G.</creatorcontrib><creatorcontrib>Colley, M.</creatorcontrib><creatorcontrib>Hagras, H.</creatorcontrib><creatorcontrib>Clarke, G.</creatorcontrib><creatorcontrib>Callaghan, V.</creatorcontrib><creatorcontrib>Argyropoulos, C.</creatorcontrib><creatorcontrib>Karistianos, C.</creatorcontrib><creatorcontrib>Nikiforidis, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bellis, S.</au><au>Razeeb, K.M.</au><au>Saha, C.</au><au>Delaney, K.</au><au>O'Mathuna, C.</au><au>Pounds-Cornish, A.</au><au>de Souza, G.</au><au>Colley, M.</au><au>Hagras, H.</au><au>Clarke, G.</au><au>Callaghan, V.</au><au>Argyropoulos, C.</au><au>Karistianos, C.</au><au>Nikiforidis, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents</atitle><btitle>Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921)</btitle><stitle>FPT</stitle><date>2004</date><risdate>2004</risdate><spage>449</spage><epage>452</epage><pages>449-452</pages><isbn>0780386515</isbn><isbn>9780780386518</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/FPT.2004.1393322</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 0780386515 |
| ispartof | Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921), 2004, p.449-452 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_1393322 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Autonomous agents Buildings Collaboration Collaborative work Fault detection Field programmable gate arrays Humans Multiagent systems Neural networks Service robots |
| title | FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T21%3A34%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=FPGA%20implementation%20of%20spiking%20neural%20networks%20-%20an%20initial%20step%20towards%20building%20tangible%20collaborative%20autonomous%20agents&rft.btitle=Proceedings.%202004%20IEEE%20International%20Conference%20on%20Field-%20Programmable%20Technology%20(IEEE%20Cat.%20No.04EX921)&rft.au=Bellis,%20S.&rft.date=2004&rft.spage=449&rft.epage=452&rft.pages=449-452&rft.isbn=0780386515&rft.isbn_list=9780780386518&rft_id=info:doi/10.1109/FPT.2004.1393322&rft_dat=%3Cieee_6IE%3E1393322%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1393322&rfr_iscdi=true |