{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T03:28:41Z","timestamp":1769743721745,"version":"3.49.0"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031709319","type":"print"},{"value":"9783031709326","type":"electronic"}],"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\/978-3-031-70932-6_5","type":"book-chapter","created":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T08:03:00Z","timestamp":1726300980000},"page":"57-70","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Collective Bayesian Decision-Making in\u00a0a\u00a0Swarm of\u00a0Miniaturized Robots for\u00a0Surface Inspection"],"prefix":"10.1007","author":[{"given":"Thiemen","family":"Siemensma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darren","family":"Chiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sneha","family":"Ramshanker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Radhika","family":"Nagpal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bahar","family":"Haghighat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,15]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","unstructured":"Alanyali, M., Venkatesh, S., Savas, O., Aeron, S.: Distributed bayesian hypothesis testing in sensor networks. In: Proceedings of the American Control Conference, vol.\u00a06, pp. 5369\u20135374. Institute of Electrical and Electronics Engineers Inc. (2004). https:\/\/doi.org\/10.23919\/acc.2004.1384706","DOI":"10.23919\/acc.2004.1384706"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Deraemaeker, A., Worden, K.: New trends in vibration based structural health monitoring. Springer Vienna (2010)","DOI":"10.1007\/978-3-7091-0399-9"},{"key":"5_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1007\/978-3-030-30241-2_58","volume-title":"Progress in Artificial Intelligence","author":"P Bartashevich","year":"2019","unstructured":"Bartashevich, P., Mostaghim, S.: Benchmarking collective perception: new task difficulty metrics for collective decision-making. In: Moura Oliveira, P., Novais, P., Reis, L.P. (eds.) EPIA 2019. LNCS (LNAI), vol. 11804, pp. 699\u2013711. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30241-2_58"},{"issue":"1\u20132","key":"5_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s11721-021-00192-8","volume":"15","author":"P Bartashevich","year":"2021","unstructured":"Bartashevich, P., Mostaghim, S.: Multi-featured collective perception with evidence theory: tackling spatial correlations. Swarm Intell. 15(1\u20132), 83\u2013110 (2021). https:\/\/doi.org\/10.1007\/s11721-021-00192-8","journal-title":"Swarm Intell."},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Bayat, B., Crasta, N., Crespi, A., Pascoal, A.M., Ijspeert, A.: Environmental monitoring using autonomous vehicles: a survey of recent searching techniques (2017). https:\/\/doi.org\/10.1016\/j.copbio.2017.01.009","DOI":"10.1016\/j.copbio.2017.01.009"},{"key":"5_CR6","doi-asserted-by":"publisher","unstructured":"Bigoni, C., Zhang, Z., Hesthaven, J.S.: Systematic sensor placement for structural anomaly detection in the absence of damaged states. Comput. Methods Appl. Mech. Eng. 371 (2020). https:\/\/doi.org\/10.1016\/j.cma.2020.113315","DOI":"10.1016\/j.cma.2020.113315"},{"issue":"1","key":"5_CR7","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1109\/EMR.2019.2958037","volume":"48","author":"A Bousdekis","year":"2020","unstructured":"Bousdekis, A., Apostolou, D., Mentzas, G.: Predictive maintenance in the 4th industrial revolution: benefits, business opportunities, and managerial implications. IEEE Eng. Manage. Rev. 48(1), 57\u201362 (2020). https:\/\/doi.org\/10.1109\/EMR.2019.2958037","journal-title":"IEEE Eng. Manage. Rev."},{"key":"5_CR8","unstructured":"Brem, C., Siemens: Senseye Predictive Maintenance - Whitepaper True Cost Of Downtime 2022 (2023)"},{"key":"5_CR9","doi-asserted-by":"publisher","unstructured":"Carbone, C., Garibaldi, O., Kurt, Z.: Swarm robotics as a solution to crops inspection for precision agriculture. KnE Eng. 3(1), 552 (2018). https:\/\/doi.org\/10.18502\/keg.v3i1.1459","DOI":"10.18502\/keg.v3i1.1459"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Chiu, D., Nagpal, R., Haghighat, B.: Optimization and evaluation of multi robot surface inspection through particle swarm optimization. In: ICRA, pp. 8996\u20139002 (2024)","DOI":"10.1109\/ICRA57147.2024.10611661"},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"Dementyev, A., et al.: Rovables: miniature on-body robots as mobile wearables. In: UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology, pp. 111\u2013120. Association for Computing Machinery, Inc (2016). https:\/\/doi.org\/10.1145\/2984511.2984531","DOI":"10.1145\/2984511.2984531"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Doebling, S., Farrar, C., Prime, M., Shevitz, D.: Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Technical Report (1996)","DOI":"10.2172\/249299"},{"key":"5_CR13","doi-asserted-by":"publisher","unstructured":"Ebert, J.T., Gauci, M., Mallmann-Trenn, F., Nagpal, R.: Bayes bots: collective bayesian decision-making in decentralized robot swarms. In: ICRA (2020). https:\/\/doi.org\/10.1109\/ICRA40945.2020.9196584","DOI":"10.1109\/ICRA40945.2020.9196584"},{"key":"5_CR14","unstructured":"Ebert, J.T., Gauci, M., Nagpal, R.: Multi-feature col-lective decision making in robot swarms. In: Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), vol.\u00a09 (2018)"},{"issue":"5","key":"5_CR15","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1007\/s11831-021-09694-4","volume":"29","author":"AG Gad","year":"2022","unstructured":"Gad, A.G.: Particle swarm optimization algorithm and its applications: a systematic review. Arch. Comput. Methods Eng. 29(5), 2531\u20132561 (2022). https:\/\/doi.org\/10.1007\/s11831-021-09694-4","journal-title":"Arch. Comput. Methods Eng."},{"key":"5_CR16","unstructured":"Haghighat, B., Ebert, J., Boghaert, J., Ekblaw, A., Nagpal, R.: A swarm robotic approach to inspection of 2.5 d surfaces in orbit (2022)"},{"key":"5_CR17","doi-asserted-by":"publisher","unstructured":"Halder, S., Afsari, K.: Robots in inspection and monitoring of buildings and infrastructure: a systematic review (2023). https:\/\/doi.org\/10.3390\/app13042304","DOI":"10.3390\/app13042304"},{"key":"5_CR18","unstructured":"Innocente, M.S., Sienz, J.: Coefficients\u2019 settings in particle swarm optimization: insight and guidelines. Mec\u00e1nica Comput. Comput. Intell. Tech. Optim. Data Model. XXIX, 9253\u20139269 (2010)"},{"issue":"1","key":"5_CR19","doi-asserted-by":"publisher","first-page":"100018","DOI":"10.1016\/j.iintel.2022.100018","volume":"2","author":"AJ Lee","year":"2023","unstructured":"Lee, A.J., Song, W., Yu, B., Choi, D., Tirtawardhana, C., Myung, H.: Survey of robotics technologies for civil infrastructure inspection. J. Inf. Intell. Resilience 2(1), 100018 (2023). https:\/\/doi.org\/10.1016\/j.iintel.2022.100018","journal-title":"J. Inf. Intell. Resilience"},{"key":"5_CR20","doi-asserted-by":"publisher","unstructured":"Liu, Y., Hajj, M., Bao, Y.: Review of robot-based damage assessment for offshore wind turbines (2022). https:\/\/doi.org\/10.1016\/j.rser.2022.112187","DOI":"10.1016\/j.rser.2022.112187"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.ymssp.2011.06.011","volume":"28","author":"F Magalh\u00e3es","year":"2012","unstructured":"Magalh\u00e3es, F., Cunha, A., Caetano, E.: Vibration based structural health monitoring of an arch bridge: from automated OMA to damage detection. Mech. Syst. Signal Process. 28, 212\u2013228 (2012). https:\/\/doi.org\/10.1016\/j.ymssp.2011.06.011","journal-title":"Mech. Syst. Signal Process."},{"key":"5_CR22","doi-asserted-by":"publisher","unstructured":"Makarenko, A., Durrant-Whyte, H.: Decentralized bayesian algorithms for active sensor networks. Inf. Fusion 7(4 SPEC. ISS.), 418\u2013433 (2006). https:\/\/doi.org\/10.1016\/j.inffus.2005.09.010","DOI":"10.1016\/j.inffus.2005.09.010"},{"issue":"1","key":"5_CR23","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"R Poli","year":"2007","unstructured":"Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1(1), 33\u201357 (2007). https:\/\/doi.org\/10.1007\/s11721-007-0002-0","journal-title":"Swarm Intell."},{"key":"5_CR24","unstructured":"PwC: PdM 4.0. Technical Report (2017)"},{"key":"5_CR25","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-3-319-99707-0_6","volume-title":"Advances in Production Management Systems. Smart Manufacturing for Industry 4.0","author":"I Roda","year":"2018","unstructured":"Roda, I., Macchi, M., Fumagalli, L.: The future of maintenance within industry 4.0: an empirical research in manufacturing. In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IAICT, vol. 536, pp. 39\u201346. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99707-0_6"},{"key":"5_CR26","doi-asserted-by":"publisher","unstructured":"Schranz, M., Umlauft, M., Sende, M., Elmenreich, W.: Swarm robotic behaviors and current applications (2020). https:\/\/doi.org\/10.3389\/frobt.2020.00036","DOI":"10.3389\/frobt.2020.00036"},{"key":"5_CR27","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s002650050536","volume":"45","author":"TD Seeley","year":"1999","unstructured":"Seeley, T.D., Buhrman, S.C.: Group decision making in swarms of honey bees. Behav. Ecol. Sociobiol. 45, 19\u201331 (1999)","journal-title":"Behav. Ecol. Sociobiol."},{"issue":"4","key":"5_CR28","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s11721-021-00201-w","volume":"15","author":"Q Shan","year":"2021","unstructured":"Shan, Q., Mostaghim, S.: Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing. Swarm Intell. 15(4), 377\u2013402 (2021). https:\/\/doi.org\/10.1007\/s11721-021-00201-w","journal-title":"Swarm Intell."},{"key":"5_CR29","doi-asserted-by":"publisher","unstructured":"Valentini, G., Brambilla, D., Hamann, H., Dorigo, M.: collective perception of environmental features in a robot swarm 9882 (2016). https:\/\/doi.org\/10.1007\/978-3-319-44427-7","DOI":"10.1007\/978-3-319-44427-7"},{"key":"5_CR30","doi-asserted-by":"publisher","unstructured":"Valentini, G., Ferrante, E., Dorigo, M.: The best-of-n problem in robot swarms: formalization, state of the art, and novel perspectives (2017). https:\/\/doi.org\/10.3389\/frobt.2017.00009","DOI":"10.3389\/frobt.2017.00009"},{"issue":"3","key":"5_CR31","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s10458-015-9323-3","volume":"30","author":"G Valentini","year":"2016","unstructured":"Valentini, G., Ferrante, E., Hamann, H., Dorigo, M.: Collective decision with 100 Kilobots: speed versus accuracy in binary discrimination problems collective decision with 100 kilo-bots: speed versus accuracy in binary discrimination problems. Auton. Agent. Multi-Agent Syst. 30(3), 553\u2013580 (2016). https:\/\/doi.org\/10.1007\/s10458-015-9323-3","journal-title":"Auton. Agent. Multi-Agent Syst."}],"container-title":["Lecture Notes in Computer Science","Swarm Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70932-6_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T08:03:21Z","timestamp":1726301001000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70932-6_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031709319","9783031709326"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70932-6_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ANTS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Swarm Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Konstanz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"9 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"antsw2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.uni-konstanz.de\/ants-2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}