{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:26:33Z","timestamp":1742912793559,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819964949"},{"type":"electronic","value":"9789819964956"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-6495-6_30","type":"book-chapter","created":{"date-parts":[[2023,10,15]],"date-time":"2023-10-15T18:01:56Z","timestamp":1697392916000},"page":"352-364","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robot Trajectory Optimization with Reinforcement Learning Based on Local Dynamic Fitting"],"prefix":"10.1007","author":[{"given":"Ji","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangbin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,16]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Lanfranco, A.R., Castellanos, A.E., Desai, J.P. and Meyers, W.C.: Robotic surgery: a current perspective. Ann. Surg. 239(1), 14\u201321 (2004)","DOI":"10.1097\/01.sla.0000103020.19595.7d"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Wyrobek, K.A., Berger, E.H., Van der Loos, H.M., Salisbury, J.K.:Towards a personal robotics development platform: rationale and design of an intrinsically safe personal robot. In: International Conference on Robotics and Automation (ICRA), pp. 2165\u20132170 (2008)","DOI":"10.1109\/ROBOT.2008.4543527"},{"key":"30_CR3","unstructured":"Haarnoja, T., et al.: Soft actor-critic algorithms and applications. arXiv preprint arXiv:1812.05905 (2018)"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Hwangbo, J., et al.: Learning agile and dynamic motor skills for legged robots. Sci. Robot. 4(26), eaau5872 (2019)","DOI":"10.1126\/scirobotics.aau5872"},{"key":"30_CR5","first-page":"1","volume":"2","author":"MP Deisenroth","year":"2013","unstructured":"Deisenroth, M.P., Neumann, G., Peters, J.: A survey on policy search for robotics. Found. Trend Robot. 2, 1\u2013142 (2013)","journal-title":"Found. Trend Robot."},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Hoppe, S., Giftthaler, M., Krug, R., Toussaint, M.:Sample-efficient learning for industrial assembly using Qgraph-bounded DDPG. In: 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9080\u20139087 (2020)","DOI":"10.1109\/IROS45743.2020.9341390"},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Kober, J., Mohler, B.J., Peters, J.: Learning perceptual coupling for motor primitives. Intell. Robots Syst. 834\u2013839 (2008)","DOI":"10.1109\/IROS.2008.4650953"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Kober, J., Peters. J.: Policy Search for Motor Primitives in Robotics. Mach. Learn. 1\u201333 (2010)","DOI":"10.1007\/s10994-010-5223-6"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Kormushev, P., Calinon, S., Caldwell, D.G.: Robot motor skill coordination with EM-based reinforcement learning. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 3232\u20133237 (2010)","DOI":"10.1109\/IROS.2010.5649089"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Kober, J., Oztop, E., Peters, J.: Reinforcement learning to adjust robot movements to new situations. In: Proceedings of the 2010 Robotics: Science and Systems Conference, pp. 301\u2013312 (2010)","DOI":"10.15607\/RSS.2010.VI.005"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Daniel, C., Neumann, G., Peters, J.: Learning concurrent motor skills in versatile solution spaces. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 3591\u20133597 (2012)","DOI":"10.1109\/IROS.2012.6386047"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Yang, C., Yang, J., Wang, X., Liang, B.:Control of space flexible manipulator using soft actor-critic and random network distillation. In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 3019\u20133024 (2019)","DOI":"10.1109\/ROBIO49542.2019.8961852"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Frazelle, C., Rogers, J., Karamouzas, I., Walker, I.: Optimizing a continuum manipulators search policy through model-free reinforcement learning. In: 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5564-5571 (2020)","DOI":"10.1109\/IROS45743.2020.9341378"},{"key":"30_CR14","unstructured":"Kim, H., Jordan, M., Sastry, S., Ng, A.: Autonomous helicopter flight via reinforcement learning. In: Advances in Neural Information Processing Systems (2004)"},{"key":"30_CR15","doi-asserted-by":"crossref","unstructured":"Ng, A.Y., et al.: Autonomous inverted helicopter flight via reinforcement learning. In: Ang, M.H., Khatib, O. (eds.) Experimental Robotics IX. Springer Tracts in Advanced Robotics, vol. 21, pp. 363\u2013372. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11552246_35","DOI":"10.1007\/11552246_35"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Bagnell, J.A., Schneider, J.G.: Autonomous helicopter control using reinforcement learning policy search methods. In: Proceedings of the International Conference on Robotics and Automation, pp. 1615\u20131620 (2001)","DOI":"10.1109\/ROBOT.2001.932842"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"Deisenroth, M.P., Rasmussen, C.E., Fox, D.: Learning to control a low-cost manipulator using data-efficient reinforcement learning. In: Proceedings of the International Conference on Robotics: Science and Systems (2011)","DOI":"10.15607\/RSS.2011.VII.008"},{"key":"30_CR18","volume-title":"Richard S","author":"RLAIS Edition","year":"2019","unstructured":"Edition, R.L.A.I.S.: Richard S. MIT Press, Sutton (2019)"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Khansari-Zadeh, S.M., Billard, A.: BM: an iterative algorithm to learn stable non-linear dynamical systems with Gaussian mixture models. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 2381\u20132388 (2010)","DOI":"10.1109\/ROBOT.2010.5510001"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Dempster, A.P:. Maximum likelihood from incomplete data via the EM algorithm (1977)","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"30_CR21","unstructured":"http:\/\/wiki.ros.org\/abb_irb1200_support"},{"key":"30_CR22","unstructured":"https:\/\/github.com\/tlund80\/MARVIN\/tree\/9fddfd4c8e298850fc8ce49c02ff437f139309d0\/src\/swcomponents\/marvin\/models\/cranfield-40"}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-6495-6_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T21:41:39Z","timestamp":1730324499000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-6495-6_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819964949","9789819964956"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-6495-6_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icira2023.org\/","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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"630","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":"431","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":"68% - 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":"2","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","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)"}}]}}