{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:52:42Z","timestamp":1743112362598,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031774256"},{"type":"electronic","value":"9783031774263"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-77426-3_8","type":"book-chapter","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T08:08:13Z","timestamp":1735114093000},"page":"112-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimization of\u00a0Machine Learning Models Applied to\u00a0Robot Localization in\u00a0the\u00a0RobotAtFactory 4.0 Competition"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6306-574X","authenticated-orcid":false,"given":"Luan C.","family":"Klein","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0979-8314","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Mendes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0276-4314","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Braun","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1032-6162","authenticated-orcid":false,"given":"Felipe N.","family":"Martins","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8975-0323","authenticated-orcid":false,"given":"Jo\u00e3o Alberto","family":"Fabro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4846-271X","authenticated-orcid":false,"given":"Paulo","family":"Costa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3803-2043","authenticated-orcid":false,"given":"Ana I.","family":"Pereira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-1207","authenticated-orcid":false,"given":"Jos\u00e9","family":"Lima","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Braun, J., et al.: A robot localization proposal for the RobotAtFactory 4.0: a novel robotics competition within the industry 4.0 concept. Front. Robot. AI 9 (2022). https:\/\/doi.org\/10.3389\/frobt.2022.1023590","DOI":"10.3389\/frobt.2022.1023590"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"Klein L.C., et al.: A machine learning approach to robot localization using fiducial markers in RobotAtFactory 4.0 competition. Sensors. 23(6), 3128 (2023). https:\/\/doi.org\/10.3390\/s23063128 Hidden to the revision","DOI":"10.3390\/s23063128"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Klein, L.C., et al.: Using machine learning approaches to localization in an embedded system on robotatfactory 4.0 competition: a case study. In: 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal, 2023, pp. 69\u201374 (2023). https:\/\/doi.org\/10.1109\/ICARSC58346.2023.10129619. Hidden to the revision","DOI":"10.1109\/ICARSC58346.2023.10129619"},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Klein, L.C., et al.: Deep learning-based localization approach for autonomous robots in the robotatfactory 4.0 competition. In: Pereira, A.I., Mendes, A., Fernandes, F.P., Pacheco, M.F., Coelho, J.P., Lima, J. (eds.) Optimization, Learning Algorithms and Applications. OL2A 2023. CCIS, vol. 1982. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-53036-4_13 Hidden to the revision","DOI":"10.1007\/978-3-031-53036-4_13"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Braun, J., J\u00fanior, A.O., Berger, G.S., Lima, J., Pereira, A.I., Costa, P.: RobotAtFactory 4.0: a ROS framework for the SimTwo simulator. In: 2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 205\u2013210. IEEE, April 2022","DOI":"10.1109\/ICARSC55462.2022.9784794"},{"key":"8_CR6","unstructured":"Bengio, Y., Goodfellow, I., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Huang, S., Dissanayake, G.: Robot Localization: An Introduction, pp. 1\u201310. Wiley Encyclopedia of Electrical and Electronics Engineering, Hoboken (1999)","DOI":"10.1002\/047134608X.W8318"},{"key":"8_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/0470099720","volume-title":"Global Positioning Systems, Inertial Navigation, and Integration","author":"MS Grewal","year":"2007","unstructured":"Grewal, M.S., Weill, L.R., Andrews, A.P.: Global Positioning Systems, Inertial Navigation, and Integration. John Wiley & Sons, Hoboken (2007)"},{"issue":"1","key":"8_CR9","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1115\/1.3662552","volume":"82","author":"RE Kalman","year":"1960","unstructured":"Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35\u201345 (1960). https:\/\/doi.org\/10.1115\/1.3662552","journal-title":"J. Basic Eng."},{"key":"8_CR10","unstructured":"Welch, G., Bishop, G.A.: An Introduction to the Kalman Filter, vol. 1, no. 4, pp. 1\u201316. EBooks, New York (1995). http:\/\/academic.csuohio.edu\/simond\/reduce\/ijar.pdf"},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1613\/jair.616","volume":"11","author":"D Fox","year":"1999","unstructured":"Fox, D., Burgard, W., Thrun, S.: Markov localization for mobile robots in dynamic environments. J. Artif. Intell. Res. 11, 391\u2013427 (1999)","journal-title":"J. Artif. Intell. Res."},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Gordon, N.J., Salmond, D.J., Smith, A.F.: Novel approach to nonlinear\/non-Gaussian Bayesian state estimation. In: IEE Proceedings F (Radar and Signal Processing), vol. 140, no. 2, pp. 107\u2013113. IET Digital Library, April 1993","DOI":"10.1049\/ip-f-2.1993.0015"},{"issue":"2","key":"8_CR13","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"MS Arulampalam","year":"2002","unstructured":"Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear\/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174\u2013188 (2002)","journal-title":"IEEE Trans. Signal Process."},{"key":"8_CR14","unstructured":"Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Pearson, London (2016)"},{"issue":"5","key":"8_CR15","doi-asserted-by":"publisher","first-page":"150","DOI":"10.11648\/j.com.20150305.21","volume":"3","author":"VSR Kumari","year":"2015","unstructured":"Kumari, V.S.R., Kumar, P.R.: Optimization of multi-layer perceptron neural network using genetic algorithm for arrhythmia classification. Communications 3(5), 150\u2013157 (2015)","journal-title":"Communications"},{"key":"8_CR16","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. In: Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 2 (NIPS\u201912), pp. 2951\u20132959. Curran Associates Inc., Red Hook, NY, USA (2012)"},{"key":"8_CR17","first-page":"117","volume":"2","author":"J Mockus","year":"1978","unstructured":"Mockus, J., Tiesis, V., Zilinskas, A.: The application of Bayesian methods for seeking the extremum. Towards Glob. Optim. 2, 117\u2013129 (1978)","journal-title":"Towards Glob. Optim."},{"issue":"1","key":"8_CR18","first-page":"17","volume":"1","author":"P Costa","year":"2011","unstructured":"Costa, P., Gon\u00e7alves, J., Lima, J., Malheiros, P.: Simtwo realistic simulator: a tool for the development and validation of robot software. Theory Appl. Math. Comput. Sci. 1(1), 17\u201333 (2011)","journal-title":"Theory Appl. Math. Comput. Sci."},{"key":"8_CR19","unstructured":"Brochu, E., Cora, V.M., De Freitas, N.: A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning (2010). arXiv preprint arXiv:1012.2599"},{"key":"8_CR20","unstructured":"Snoek, J., Larochelle, H., Adams, R.P.: Practical Bayesian optimization of machine learning algorithms. Adv. Neural Inf. Process. Syst. 25 (2012)"},{"key":"8_CR21","doi-asserted-by":"publisher","unstructured":"Sousa, R., et al.: A Robotic Framework for the Robot@Factory 4.0 Competition (2024). https:\/\/doi.org\/10.13140\/RG.2.2.29701.77283","DOI":"10.13140\/RG.2.2.29701.77283"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Ferreira, T., Braun, J., Lima, J., Pinto, V.H., Santos, M., Costa, P.: Robot at factory 4.0: an auto-referee proposal based on artificial vision. In: Iberian Robotics Conference, pp. 475\u2013487. Springer International Publishing, Cham, November 2022","DOI":"10.1007\/978-3-031-21065-5_39"}],"container-title":["Communications in Computer and Information Science","Optimization, Learning Algorithms and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77426-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T09:04:22Z","timestamp":1735117462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77426-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031774256","9783031774263"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77426-3_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"26 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OL2A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Optimization, Learning Algorithms and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tenerife","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ol2a2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ol2a.ipb.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}