{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:56:20Z","timestamp":1742946980204,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819607976"},{"type":"electronic","value":"9789819607983"}],"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\/978-981-96-0798-3_17","type":"book-chapter","created":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T09:58:15Z","timestamp":1737712695000},"page":"214-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Online Parallel Optimization Motion Planner for\u00a0Robots Under Moving Obstacle Circumstances"],"prefix":"10.1007","author":[{"given":"Chengzhi","family":"Wang","sequence":"first","affiliation":[]},{"given":"Shize","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Tianjiao","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Hegao","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Yanhe","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,25]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Adiyatov, O., Varol, H.A.: Rapidly-exploring random tree based memory efficient motion planning. In: 2013 IEEE International Conference on Mechatronics and Automation, pp. 354\u2013359. IEEE (2013)","DOI":"10.1109\/ICMA.2013.6617944"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Adiyatov, O., Varol, H.A.: A novel RRT*-based algorithm for motion planning in dynamic environments. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1416\u20131421. IEEE (2017)","DOI":"10.1109\/ICMA.2017.8016024"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Arslan, O., Tsiotras, P.: Use of relaxation methods in sampling-based algorithms for optimal motion planning. In: 2013 IEEE International Conference on Robotics and Automation, pp. 2421\u20132428. IEEE (2013)","DOI":"10.1109\/ICRA.2013.6630906"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Berscheid, L., Kr\u00f6ger, T.: Jerk-limited real-time trajectory generation with arbitrary target states. arXiv preprint arXiv:2105.04830 (2021)","DOI":"10.15607\/RSS.2021.XVII.015"},{"key":"17_CR5","unstructured":"Coleman, D., Sucan, I., Chitta, S., Correll, N.: Reducing the barrier to entry of complex robotic software: a moveit! case study. arXiv preprint arXiv:1404.3785 (2014)"},{"key":"17_CR6","unstructured":"Diankov, R., Kuffner, J.: OpenRAVE: a planning architecture for autonomous robotics. Robotics Institute, Pittsburgh, PA, Tech. Rep. CMU-RI-TR-08-34 79 (2008)"},{"issue":"12","key":"17_CR7","doi-asserted-by":"publisher","first-page":"9571","DOI":"10.1109\/TIE.2018.2823667","volume":"65","author":"G Du","year":"2018","unstructured":"Du, G., Chen, M., Liu, C., Zhang, B., Zhang, P.: Online robot teaching with natural human\u2013robot interaction. IEEE Trans. Industr. Electron. 65(12), 9571\u20139581 (2018). https:\/\/doi.org\/10.1109\/TIE.2018.2823667","journal-title":"IEEE Trans. Industr. Electron."},{"key":"17_CR8","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/ACCESS.2014.2302442","volume":"2","author":"M Elbanhawi","year":"2014","unstructured":"Elbanhawi, M., Simic, M.: Sampling-based robot motion planning: a review. IEEE Access 2, 56\u201377 (2014)","journal-title":"IEEE Access"},{"issue":"2","key":"17_CR9","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s10514-016-9574-0","volume":"41","author":"ML Felis","year":"2017","unstructured":"Felis, M.L.: RBDL: an efficient rigid-body dynamics library using recursive algorithms. Auton. Robot. 41(2), 495\u2013511 (2017)","journal-title":"Auton. Robot."},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Ferguson, D., Stentz, A.: Anytime RRTs. In: 2006 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 5369\u20135375. IEEE (2006)","DOI":"10.1109\/IROS.2006.282100"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Gammell, J.D., Srinivasa, S.S., Barfoot, T.D.: Informed RRT*: optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic. In: 2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 2997\u20133004. IEEE (2014)","DOI":"10.1109\/IROS.2014.6942976"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Kalakrishnan, M., Chitta, S., Theodorou, E., Pastor, P., Schaal, S.: STOMP: stochastic trajectory optimization for motion planning. In: 2011 IEEE International Conference on Robotics and Automation, pp. 4569\u20134574. IEEE (2011)","DOI":"10.1109\/ICRA.2011.5980280"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Karaman, S., Frazzoli, E.: Incremental sampling-based algorithms for optimal motion planning (2011)","DOI":"10.15607\/RSS.2010.VI.034"},{"issue":"7","key":"17_CR14","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1177\/0278364911406761","volume":"30","author":"S Karaman","year":"2011","unstructured":"Karaman, S., Frazzoli, E.: Sampling-based algorithms for optimal motion planning. Int. J. Robot. Res. 30(7), 846\u2013894 (2011)","journal-title":"Int. J. Robot. Res."},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Karaman, S., Walter, M.R., Perez, A., Frazzoli, E., Teller, S.: Anytime motion planning using the RRT. In: 2011 IEEE International Conference on Robotics and Automation, pp. 1478\u20131483. IEEE (2011)","DOI":"10.1109\/ICRA.2011.5980479"},{"issue":"4","key":"17_CR16","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/70.508439","volume":"12","author":"LE Kavraki","year":"1996","unstructured":"Kavraki, L.E., Svestka, P., Latombe, J.C., Overmars, M.H.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans. Robot. Autom. 12(4), 566\u2013580 (1996)","journal-title":"IEEE Trans. Robot. Autom."},{"issue":"1","key":"17_CR17","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."},{"issue":"3","key":"17_CR18","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1109\/TII.2015.2416435","volume":"11","author":"JJ Kim","year":"2015","unstructured":"Kim, J.J., Lee, J.J.: Trajectory optimization with particle swarm optimization for manipulator motion planning. IEEE Trans. Industr. Inf. 11(3), 620\u2013631 (2015)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"17_CR19","unstructured":"LaValle, S.: Rapidly-exploring random trees: a new tool for path planning. Res. Rep. 9811 (1998)"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Marcucci, T., Petersen, M., von Wrangel, D., Tedrake, R.: Motion planning around obstacles with convex optimization. Sci. Robot. 8(84), eadf7843 (2023)","DOI":"10.1126\/scirobotics.adf7843"},{"key":"17_CR21","doi-asserted-by":"crossref","unstructured":"Naderi, K., Rajam\u00e4ki, J., H\u00e4m\u00e4l\u00e4inen, P.: RT-RRT* a real-time path planning algorithm based on RRT. In: Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, pp. 113\u2013118 (2015)","DOI":"10.1145\/2822013.2822036"},{"issue":"7","key":"17_CR22","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1177\/0278364915594679","volume":"35","author":"M Otte","year":"2016","unstructured":"Otte, M., Frazzoli, E.: RRTX: asymptotically optimal single-query sampling-based motion planning with quick replanning. Int. J. Robot. Res. 35(7), 797\u2013822 (2016)","journal-title":"Int. J. Robot. Res."},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Pan, J., Chitta, S., Manocha, D.: FCL: a general purpose library for collision and proximity queries. In: 2012 IEEE International Conference on Robotics and Automation, pp. 3859\u20133866. IEEE (2012)","DOI":"10.1109\/ICRA.2012.6225337"},{"issue":"3","key":"17_CR24","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TRO.2018.2819195","volume":"34","author":"H Pham","year":"2018","unstructured":"Pham, H., Pham, Q.C.: A new approach to time-optimal path parameterization based on reachability analysis. IEEE Trans. Rob. 34(3), 645\u2013659 (2018)","journal-title":"IEEE Trans. Rob."},{"key":"17_CR25","doi-asserted-by":"crossref","unstructured":"Ratliff, N., Zucker, M., Bagnell, J.A., Srinivasa, S.: CHOMP: gradient optimization techniques for efficient motion planning. In: 2009 IEEE International Conference on Robotics and Automation, pp. 489\u2013494. IEEE (2009)","DOI":"10.1109\/ROBOT.2009.5152817"},{"key":"17_CR26","doi-asserted-by":"crossref","unstructured":"Saleem, M.S., Sood, R., Onodera, S., Arora, R., Kanazawa, H., Likhachev, M.: Search-based path planning for a high dimensional manipulator in cluttered environments using optimization-based primitives. In: 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8301\u20138308. IEEE (2021)","DOI":"10.1109\/IROS51168.2021.9636387"},{"issue":"4","key":"17_CR27","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/MRA.2012.2205651","volume":"19","author":"IA Sucan","year":"2012","unstructured":"Sucan, I.A., Moll, M., Kavraki, L.E.: The open motion planning library. IEEE Robot. Autom. Mag. 19(4), 72\u201382 (2012)","journal-title":"IEEE Robot. Autom. Mag."},{"issue":"3","key":"17_CR28","doi-asserted-by":"publisher","first-page":"7407","DOI":"10.1109\/LRA.2022.3183251","volume":"7","author":"Q Zhang","year":"2022","unstructured":"Zhang, Q., et al.: RTSRAs: a series-parallel-reconfigurable tendon-driven supernumerary robotic arms. IEEE Robot. Autom. Lett. 7(3), 7407\u20137414 (2022)","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"2","key":"17_CR29","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s10845-021-01867-z","volume":"33","author":"C Zhou","year":"2022","unstructured":"Zhou, C., Huang, B., Fr\u00e4nti, P.: A review of motion planning algorithms for intelligent robots. J. Intell. Manuf. 33(2), 387\u2013424 (2022)","journal-title":"J. Intell. Manuf."}],"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\/978-981-96-0798-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T09:58:28Z","timestamp":1737712708000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0798-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819607976","9789819607983"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0798-3_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Xi'an","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icira2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}