{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:37:06Z","timestamp":1743111426451,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030616151"},{"type":"electronic","value":"9783030616168"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-61616-8_41","type":"book-chapter","created":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T23:07:42Z","timestamp":1602889662000},"page":"509-520","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive, Neural Robot Control \u2013 Path Planning on 3D Spiking Neural Networks"],"prefix":"10.1007","author":[{"given":"Lea","family":"Steffen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Artur","family":"Liebert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Ulbrich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arne","family":"Roennau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R\u00fcdiger","family":"Dillmannn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,14]]},"reference":[{"key":"41_CR1","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3389\/fnbot.2018.00035","volume":"12","author":"Z Bing","year":"2018","unstructured":"Bing, Z., Meschede, C., R\u00f6hrbein, F., Huang, K., Knoll, A.: A survey of robotics control based on learning-inspired spiking neural networks. Front. Neurorobot. 12, 35 (2018)","journal-title":"Front. Neurorobot."},{"issue":"1","key":"41_CR2","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MM.2018.112130359","volume":"38","author":"M Davies","year":"2018","unstructured":"Davies, M., et al.: Loihi: a neuromorphic manycore processor with on-chip learning. IEEE Micro 38(1), 82\u201399 (2018)","journal-title":"IEEE Micro"},{"issue":"JUN","key":"41_CR3","first-page":"34","volume":"3","author":"E De Momi","year":"2016","unstructured":"De Momi, E., Kranendonk, L., Valenti, M., Enayati, N., Ferrigno, G.: A neural network-based approach for trajectory planning in robot-human handover tasks. Front. Robot. AI 3(JUN), 34 (2016)","journal-title":"Front. Robot. AI"},{"key":"41_CR4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.3389\/frobt.2019.00089","volume":"6","author":"M Ewerton","year":"2019","unstructured":"Ewerton, M., et al.: Learning trajectory distributions for assisted teleoperation and path planning. Front. Robot. AI 6, 89 (2019)","journal-title":"Front. Robot. AI"},{"issue":"4","key":"41_CR5","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.neuron.2012.08.001","volume":"75","author":"D Feldman","year":"2012","unstructured":"Feldman, D.: The spike-timing dependence of plasticity. Neuron 75(4), 556\u2013571 (2012)","journal-title":"Neuron"},{"issue":"5","key":"41_CR6","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1109\/JPROC.2014.2304638","volume":"102","author":"S Furber","year":"2014","unstructured":"Furber, S., Galluppi, F., Temple, S., Plana, L.: The SpiNNaker project. Proc. IEEE 102(5), 652\u2013665 (2014)","journal-title":"Proc. IEEE"},{"issue":"1","key":"41_CR7","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/0893-6080(94)E0045-M","volume":"8","author":"R Glasius","year":"1995","unstructured":"Glasius, R., Komoda, A., Gielen, S.C.: Neural network dynamics for path planning and obstacle avoidance. Neural Netw. 8(1), 125\u2013133 (1995)","journal-title":"Neural Netw."},{"issue":"11","key":"41_CR8","doi-asserted-by":"publisher","first-page":"1724","DOI":"10.1109\/TNN.2009.2029858","volume":"20","author":"H Qu","year":"2009","unstructured":"Qu, H., Yang, S., Willms, A., Yi, Z.: Real-time robot path planning based on a modified pulse-coupled neural network model. Trans. NN 20(11), 1724\u20131739 (2009)","journal-title":"Trans. NN"},{"issue":"1","key":"41_CR9","doi-asserted-by":"publisher","first-page":"15","DOI":"10.5772\/5615","volume":"1","author":"D Janglov\u00e1","year":"2004","unstructured":"Janglov\u00e1, D.: Neural networks in mobile robot motion. Int. J. Adv. Robot. Syst. 1(1), 15\u201322 (2004)","journal-title":"Int. J. Adv. Robot. Syst."},{"issue":"1","key":"41_CR10","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.thbio.2006.03.001","volume":"125","author":"J Jost","year":"2006","unstructured":"Jost, J.: Temporal correlation based learning in neuron models. Theory Biosci. 125(1), 37\u201353 (2006)","journal-title":"Theory Biosci."},{"issue":"7","key":"41_CR11","doi-asserted-by":"publisher","first-page":"e0127269","DOI":"10.1371\/journal.pone.0127269","volume":"10","author":"A Khajeh-Alijani","year":"2015","unstructured":"Khajeh-Alijani, A., Urbanczik, R., Senn, W.: Scale-free navigational planning by neuronal traveling waves. PLoS ONE 10(7), e0127269 (2015)","journal-title":"PLoS ONE"},{"key":"41_CR12","unstructured":"Koenig, S., Likhachev, M.: Incremental A*. NIPS2001, pp. 1539\u20131546 (2002)"},{"issue":"6197","key":"41_CR13","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1126\/science.1254642","volume":"345","author":"PA Merolla","year":"2014","unstructured":"Merolla, P.A., et al.: A million spiking-neuron integrated circuit with a scalable communication network and interface. Science 345(6197), 668\u2013673 (2014)","journal-title":"Science"},{"issue":"1","key":"41_CR14","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/0006-8993(71)90358-1","volume":"34","author":"J O\u2019Keefe","year":"1971","unstructured":"O\u2019Keefe, J., Dostrovsky, J.: The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Res. 34(1), 171\u2013175 (1971)","journal-title":"Brain Res."},{"key":"41_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1007\/978-3-642-21219-2_25","volume-title":"Hybrid Artificial Intelligent Systems","author":"A Pal","year":"2011","unstructured":"Pal, A., Tiwari, R., Shukla, A.: A focused wave front algorithm for mobile robot path planning. In: Corchado, E., Kurzy\u0144ski, M., Wo\u017aniak, M. (eds.) HAIS 2011. LNCS (LNAI), vol. 6678, pp. 190\u2013197. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21219-2_25"},{"key":"41_CR16","doi-asserted-by":"crossref","unstructured":"Polyakova, M., Rubin, G., Danilova, Y.: Method for matching customer and manufacturer positions for metal product parameters standardization. In: AIP, vol. 1946 (2018)","DOI":"10.1063\/1.5030320"},{"key":"41_CR17","first-page":"98","volume":"7","author":"F Ponulak","year":"2013","unstructured":"Ponulak, F., Hopfield, J.: Rapid, parallel path planning by propagating wavefronts of spiking neural activity. Front. Comp. Neurosci. 7, 98 (2013)","journal-title":"Front. Comp. Neurosci."},{"key":"41_CR18","doi-asserted-by":"crossref","unstructured":"Qureshi, A., Simeonov, A., Bency, M., Yip, M.: Motion planning networks (2019)","DOI":"10.1109\/ICRA.2019.8793889"},{"key":"41_CR19","doi-asserted-by":"publisher","first-page":"36","DOI":"10.3389\/fnbot.2019.00036","volume":"13","author":"M Rakovi\u0107","year":"2019","unstructured":"Rakovi\u0107, M., Savi\u0107, S., Santos-Victor, J., Nikoli\u0107, M., Borovac, B.: Human-inspired online path planning and biped walking realization in unknown environment. Front. Neurorobot. 13, 36 (2019)","journal-title":"Front. Neurorobot."},{"issue":"8","key":"41_CR20","doi-asserted-by":"publisher","first-page":"3965","DOI":"10.1016\/j.eswa.2013.12.027","volume":"41","author":"M Subashini","year":"2014","unstructured":"Subashini, M., KumarSahoo, S.: Pulse coupled neural networks and its applications. Expert Syst. Appl. 41(8), 3965\u20133974 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"41_CR21","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1037\/h0061626","volume":"55","author":"EC Tolman","year":"1948","unstructured":"Tolman, E.C.: Cognitive maps in rats and men. Psychol. Rev. 55(4), 189 (1948)","journal-title":"Psychol. Rev."},{"key":"41_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-540-87536-9_76","volume-title":"Artificial Neural Networks - ICANN 2008","author":"C Weber","year":"2008","unstructured":"Weber, C., Triesch, J.: From exploration to planning. In: K\u016frkov\u00e1, V., Neruda, R., Koutn\u00edk, J. (eds.) ICANN 2008. LNCS, vol. 5163, pp. 740\u2013749. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-87536-9_76"},{"issue":"3","key":"41_CR23","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1109\/37.588194","volume":"17","author":"M Zeller","year":"1997","unstructured":"Zeller, M., Sharma, R., Schulten, K.: Motion planning of a pneumatic robot using a neural network. IEEE Control Syst. 17(3), 89\u201398 (1997)","journal-title":"IEEE Control Syst."},{"key":"41_CR24","unstructured":"Zennir, M., Benmohammed, M., Boudjadja, R.: Spike-time dependant plasticity in a spiking neural network for robot path planning. In: AIAI, vol. 1539 (2015)"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61616-8_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T22:06:42Z","timestamp":1619302002000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-61616-8_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030616151","9783030616168"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61616-8_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"14 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"249","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"139","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"*The conference was postponed to 2021 due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}