{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:45:50Z","timestamp":1742964350952,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030595050"},{"type":"electronic","value":"9783030595067"}],"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\/978-3-030-59506-7_14","type":"book-chapter","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T23:07:55Z","timestamp":1602112075000},"page":"159-170","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Review of Self-balancing Robot Reinforcement Learning Algorithms"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5100-5990","authenticated-orcid":false,"given":"Aistis","family":"Raudys","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Au\u0161ra","family":"\u0160ubonien\u0117","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,8]]},"reference":[{"issue":"3","key":"14_CR1","first-page":"62","volume":"14","author":"AA Bature","year":"2014","unstructured":"Bature, A.A., et al.: A comparison of controllers for balancing two wheeled inverted pendulum robot. Int. J. Mech. Mechatron. Eng. 14(3), 62\u201368 (2014)","journal-title":"Int. J. Mech. Mechatron. Eng."},{"key":"14_CR2","unstructured":"Brockman, G., et al.: Openai gym. arXiv preprint \narXiv:1606.01540\n\n (2016)"},{"key":"14_CR3","unstructured":"Coumans, E., Bai., Y.: PyBullet, a Python module for physics simulation in robotics, games and machine learning (2017)"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Glushchenko, A.I., Petrov, V.A., Lastochkin, K.A.: On development of neural network controller with online training to control two-wheeled balancing robot. In: International Russian Automation Conference (RusAutoCon), IEEE 2018, pp. 1\u20136 (2018)","DOI":"10.1109\/RUSAUTOCON.2018.8501692"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Imtiaz, M.A., et al.: Control system design, analysis & implementation of two wheeled self balancing robot (TWSBR). In: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 431\u2013437 (2018)","DOI":"10.1109\/IEMCON.2018.8614858"},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.pisc.2016.03.016","volume":"8","author":"A Kharola","year":"2016","unstructured":"Kharola, A., et al.: A comparison study for control and stabilisation of inverted pendulum on inclined surface (IPIS) using PID and fuzzy controllers. Perspect. Sci. 8, 187\u2013190 (2016)","journal-title":"Perspect. Sci."},{"issue":"2","key":"14_CR7","doi-asserted-by":"publisher","first-page":"154","DOI":"10.5391\/IJFIS.2012.12.2.154","volume":"12","author":"H-W Kim","year":"2012","unstructured":"Kim, H.-W., Jung, S.: Fuzzy logic application to a two-wheel mobile robot for balancing control performance. Int. J. Fuzzy Logic Intell. Syst. 12(2), 154\u2013161 (2012)","journal-title":"Int. J. Fuzzy Logic Intell. Syst."},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Liang, S., Gan, F.: Balance control of two-wheeled robot based on reinforcement learning. In: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, IEEE 2011, vol. 6, pp. 3254\u20133257 (2011)","DOI":"10.1109\/EMEIT.2011.6023706"},{"key":"14_CR9","unstructured":"Mnih, V., et al.: Asynchronous methods for deep reinforcement learning. In: International Conference on Machine Learning, pp. 1928\u20131937 (2016)"},{"key":"14_CR10","unstructured":"Mnih, V., et al.: Playing Atari with deep reinforcement learning. arXiv preprint \narXiv:1312.5602\n\n (2013)"},{"issue":"1","key":"14_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40638-018-0091-9","volume":"5","author":"MDM Rahman","year":"2018","unstructured":"Rahman, M.D.M., Rashid, S.M.H., Hossain, M.M.: Implementation of Q learning and deep Q network for controlling a self balancing robot model. Robot. Biomimetics 5(1), 1\u20136 (2018). \nhttps:\/\/doi.org\/10.1186\/s40638-018-0091-9","journal-title":"Robot. Biomimetics"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Ren, H., Ruan, X.: Bionic self-learning of two-wheeled robot based on skinner\u2019s operant conditioning. In: 2009 International Conference on Computational Intelligence and Natural Computing, IEEE 2009, vol. 1, pp. 389\u2013392 (2009)","DOI":"10.1109\/CINC.2009.144"},{"key":"14_CR13","unstructured":"Schulman, J., et al.: Proximal policy optimization algorithms. arXiv preprint \narXiv:1707.06347\n\n (2017)"},{"key":"14_CR14","unstructured":"Schulman, J., et al.: Trust region policy optimization. In: International Conference on Machine Learning, pp. 1889\u20131897 (2015)"},{"issue":"13\u201315","key":"14_CR15","first-page":"2478","volume":"73","author":"S Kuo-Ho","year":"2010","unstructured":"Kuo-Ho, S., Chen, Y.-Y., Shun-Feng, S.: Design of neural-fuzzy-based controller for two autonomously driven wheeled robot. Neurocomputing 73(13\u201315), 2478\u20132488 (2010)","journal-title":"Neurocomputing"},{"key":"14_CR16","volume-title":"Reinforcement Learning: An Introduction","author":"RS Sutton","year":"2018","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (2018)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Tatikonda, R.C., Battula, V.P., Kumar, V.: Control of inverted pendulum using adaptive neuro fuzzy inference structure (ANFIS). In: Proceedings of 2010 IEEE International Symposium on Circuits and Systems, IEEE 2010, pp. 1348\u20131351 (2010)","DOI":"10.1109\/ISCAS.2010.5537234"},{"key":"14_CR18","unstructured":"Wang, Z., et al.: Sample efficient actor-critic with experience replay. arXiv preprint \narXiv:1611.01224\n\n (2016)"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Xia, P., Li, Y.: The control of two-wheeled self-balancing vehicle based on reinforcement learning in a continuous domain. In: 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), IEEE 2017, pp. 1084\u20131089 (2017)","DOI":"10.1109\/YAC.2017.7967572"}],"container-title":["Communications in Computer and Information Science","Information and Software Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59506-7_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T23:10:50Z","timestamp":1602112250000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-59506-7_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030595050","9783030595067"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59506-7_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"8 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Software Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaunas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icist2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icist.ktu.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"78","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":"23","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":"7","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":"29% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}