{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T10:40:02Z","timestamp":1750848002328,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819687305","type":"print"},{"value":"9789819687312","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-8731-2_32","type":"book-chapter","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T09:59:44Z","timestamp":1750845584000},"page":"329-339","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast Autonomous Exploration in\u00a0Complex Environments via\u00a0the\u00a0Farthest Cluster Representative and\u00a0Dynamic Information Gain"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7445-8319","authenticated-orcid":false,"given":"Junhui","family":"Kuang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8683-3635","authenticated-orcid":false,"given":"Dezhi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1980-5080","authenticated-orcid":false,"given":"Youyi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7334-3463","authenticated-orcid":false,"given":"Jianye","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubin","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinghui","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Ming","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,21]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Fasiolo, D.T., Scalera, L., Maset, E., Gasparetto, A.: Towards autonomous mapping in agriculture: a review of supportive technologies for ground robotics. Robot. Auton. Syst. 104514 (2023)","DOI":"10.1016\/j.robot.2023.104514"},{"issue":"8","key":"32_CR2","doi-asserted-by":"publisher","first-page":"2748","DOI":"10.1017\/S0263574721001946","volume":"40","author":"J Liu","year":"2022","unstructured":"Liu, J., Wang, C., Chi, W., Chen, G., Sun, L.: Estimated path information gain-based robot exploration under perceptual uncertainty. Robotica 40(8), 2748\u20132764 (2022)","journal-title":"Robotica"},{"key":"32_CR3","unstructured":"Yamauchi, B.: A frontier-based approach for autonomous exploration. In: Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 1997. Towards New Computational Principles for Robotics and Automation, pp. 146\u2013151. IEEE (1997)"},{"key":"32_CR4","unstructured":"LaValle, S.: Rapidly-exploring random trees: a new tool for path planning. Research Report 9811 (1998)"},{"issue":"4","key":"32_CR5","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/s43154-020-00030-5","volume":"1","author":"A Quattrini Li","year":"2020","unstructured":"Quattrini Li, A.: Exploration and mapping with groups of robots: recent trends. Curr. Robot. Rep. 1(4), 227\u2013237 (2020)","journal-title":"Curr. Robot. Rep."},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Umari, H., Mukhopadhyay, S.: Autonomous robotic exploration based on multiple rapidly-exploring randomized trees. In: 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1396\u20131402. IEEE (2017)","DOI":"10.1109\/IROS.2017.8202319"},{"issue":"1","key":"32_CR7","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1177\/027836498600500106","volume":"5","author":"O Khatib","year":"1986","unstructured":"Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. Int. J. Robot. Res. 5(1), 90\u201398 (1986)","journal-title":"Int. J. Robot. Res."},{"key":"32_CR8","unstructured":"Warren, C.W.: Global path planning using artificial potential fields. In: 1989 IEEE International Conference on Robotics and Automation, pp. 316\u2013317. IEEE Computer Society (1989)"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Yu, J., Tong, J., Xu, Y., Xu, Z., Dong, H., Yang, T., Wang, Y.: SMMR-explore: submap-based multi-robot exploration system with multi-robot multi-target potential field exploration method. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 8779\u20138785. IEEE (2021)","DOI":"10.1109\/ICRA48506.2021.9561328"},{"key":"32_CR10","unstructured":"Liang, H., Wang, Z., Li, J.: Robot autonomous frontier exploration strategy based on the idea of image processing"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Wu, C.Y., Lin, H.Y.: Autonomous mobile robot exploration in unknown indoor environments based on rapidly-exploring random tree. In: 2019 IEEE International Conference on Industrial Technology (ICIT), pp. 1345\u20131350. IEEE (2019)","DOI":"10.1109\/ICIT.2019.8754938"},{"issue":"2","key":"32_CR12","doi-asserted-by":"publisher","first-page":"1500","DOI":"10.1109\/LRA.2020.2969191","volume":"5","author":"L Schmid","year":"2020","unstructured":"Schmid, L., Pantic, M., Khanna, R., Ott, L., Siegwart, R., Nieto, J.: An efficient sampling-based method for online informative path planning in unknown environments. IEEE Rob. Autom. Lett. 5(2), 1500\u20131507 (2020)","journal-title":"IEEE Rob. Autom. Lett."},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Zhao, X., Yu, C., Xu, E., Liu, Y.: TDLE: 2-D LiDAR exploration with hierarchical planning using regional division. In: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), pp.\u00a01\u20136. IEEE (2023)","DOI":"10.1109\/CASE56687.2023.10260441"},{"issue":"4","key":"32_CR14","doi-asserted-by":"publisher","first-page":"1720","DOI":"10.1109\/TASE.2019.2894748","volume":"16","author":"C Wang","year":"2019","unstructured":"Wang, C., Chi, W., Sun, Y., Meng, M.: Autonomous robotic exploration by incremental road map construction. IEEE Trans. Autom. Sci. Eng. 16(4), 1720\u20131731 (2019)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"135513","DOI":"10.1109\/ACCESS.2020.3011211","volume":"8","author":"Q Yao","year":"2020","unstructured":"Yao, Q., et al.: Path planning method with improved artificial potential field-a reinforcement learning perspective. IEEE Access 8, 135513\u2013135523 (2020)","journal-title":"IEEE Access"},{"key":"32_CR16","unstructured":"Choset, H., Lynch, K.M., Hutchinson, S., Kantor, G.A., Burgard, W.: Principles of Robot Motion: Theory, Algorithms, and Implementations. MIT Press (2005)"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Xu, Y., et al.: Explore-bench: data sets, metrics and evaluations for frontier-based and deep-reinforcement-learning-based autonomous exploration. In: 2022 International Conference on Robotics and Automation (ICRA), pp. 6225\u20136231. IEEE (2022)","DOI":"10.1109\/ICRA46639.2022.9812344"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"Long, S., Li, Y., Wu, C., Xu, B., Fan, W.: HPHS: hierarchical planning based on hybrid frontier sampling for unknown environments exploration. In: 2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 12056\u201312063. IEEE (2024)","DOI":"10.1109\/IROS58592.2024.10802539"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Koenig, N., Howard, A.: Design and use paradigms for gazebo, an open-source multi-robot simulator. In: 2004 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No. 04CH37566), vol.\u00a03, pp. 2149\u20132154. IEEE (2004)","DOI":"10.1109\/IROS.2004.1389727"},{"key":"32_CR20","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/s10514-011-9249-9","volume":"31","author":"N Basilico","year":"2011","unstructured":"Basilico, N., Amigoni, F.: Exploration strategies based on multi-criteria decision making for searching environments in rescue operations. Auton. Robot. 31, 401\u2013417 (2011)","journal-title":"Auton. Robot."},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Hess, W., Kohler, D., Rapp, H., Andor, D.: Real-time loop closure in 2D LiDAR SLAM. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1271\u20131278. IEEE (2016)","DOI":"10.1109\/ICRA.2016.7487258"}],"container-title":["Lecture Notes in Computer Science","Wireless Artificial Intelligent Computing Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-8731-2_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T09:59:55Z","timestamp":1750845595000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-8731-2_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819687305","9789819687312"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-8731-2_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Artificial Intelligent Computing Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2025\/index.html#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}