{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:12:49Z","timestamp":1783699969014,"version":"3.55.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030667221","type":"print"},{"value":"9783030667238","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-66723-8_5","type":"book-chapter","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T13:36:54Z","timestamp":1612877814000},"page":"73-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Neural Collision Clearance Estimator for Batched Motion Planning"],"prefix":"10.1007","author":[{"given":"J.","family":"Chase Kew","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Ichter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maryam","family":"Bandari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tsang-Wei Edward","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandra","family":"Faust","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,2,9]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Amato, N.M., Dale, L.K.: Probabilistic roadmap methods are embarrassingly parallel. In: Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No. 99CH36288C), vol. 1, pp. 688\u2013694, May 1999","DOI":"10.1109\/ROBOT.1999.770055"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Bialkowski, J., Karaman, S., Frazzoli, E.: Massively parallelizing the RRT and the RRT*. In: 2011 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 3513\u20133518. IEEE (2011)","DOI":"10.1109\/IROS.2011.6095053"},{"issue":"7","key":"5_CR3","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1177\/0278364915625345","volume":"35","author":"J Bialkowski","year":"2016","unstructured":"Bialkowski, J., Otte, M., Karaman, S., Frazzoli, E.: Efficient collision checking in sampling-based motion planning via safety certificates. Int. J. Robot. Res. 35(7), 767\u2013796 (2016)","journal-title":"Int. J. Robot. Res."},{"key":"5_CR4","unstructured":"Chiang, L., Faust, A., Sugaya, S., Tapia, L.: Fast swept volume estimation with deep learning. In: Proceedings of International Workshop on Algorithmic Foundations of Robotics (WAFR) (2018)"},{"issue":"13\u201314","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1632","DOI":"10.1177\/0278364918781001","volume":"37","author":"S Choudhury","year":"2018","unstructured":"Choudhury, S., Bhardwaj, M., Arora, S., Kapoor, A., Ranade, G., Scherer, S., Dey, D.: Data-driven planning via imitation learning. Int. J. Robot. Res. 37(13\u201314), 1632\u20131672 (2018)","journal-title":"Int. J. Robot. Res."},{"key":"5_CR6","unstructured":"Coumans a, E., Bai, Y.: Pybullet, a python module for physics simulation for games, robotics and machine learning (2016\u20132019). http:\/\/pybullet.org"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Das, N., Yip, M.: Learning-based proxy collision detection for robot motion planning applications. IEEE Trans. Robot. 1\u201319 (2020)","DOI":"10.1109\/TRO.2020.2974094"},{"key":"5_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"},{"key":"5_CR9","unstructured":"Gilbert, E., Johnson, D.W., Keerthi., S.: A fast procedure for computing the distance between objects in three-dimensional space. Robot. Autom. IEEE J. 4, 193\u2013203 (1988)"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Golovin, D., Solnik, B., Moitra, S., Kochanski, G., Karro, J., Sculley, D.: Google vizier: a service for black-box optimization. In: Proceedings of ACM International Conference on Knowledge Discovery and Data Mining, pp. 1487\u20131495. ACM (2017)","DOI":"10.1145\/3097983.3098043"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Hoff, K.E., Zaferakis, A., Lin, M., Manocha, D.: Fast and simple 2D geometric proximity queries using graphics hardware. In: Proceedings of the 2001 Symposium on Interactive 3D Graphics, pp. 145\u2013148, New York, NY, USA. Association for Computing Machinery (2001)","DOI":"10.1145\/364338.364383"},{"key":"5_CR12","unstructured":"Huh, J., Lee, D.D.: Learning high-dimensional mixture models for fast collision detection in rapidly-exploring random trees. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 63\u201369. IEEE (2016)"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Ichter, B., Harrison, J., Pavone, M.: Learning sampling distributions for robot motion planning. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 7087\u20137094. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8460730"},{"key":"5_CR14","unstructured":"Kew, J.C., Ichter, B., Bandari, M., Lee, T.-W.E., Faust, A.: Neural collision clearance estimator for batched motion planning (2019)"},{"key":"5_CR15","unstructured":"Kumar, S., Choudhary, S., Srinivasa, S.: Estimating configuration space belief from collision checks for motion planning. CoRR, abs\/1901.07646 (2019)"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"LaValle, S.M.: Planning Algorithms. Cambridge University Press, Cambridge, U.K., (2006). http:\/\/planning.cs.uiuc.edu\/","DOI":"10.1017\/CBO9780511546877"},{"issue":"5","key":"5_CR17","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1177\/02783640122067453","volume":"20","author":"SM LaValle","year":"2001","unstructured":"LaValle, S.M., James, S.M., Kuffner, J.: Randomized kinodynamic planning. Int. J. Robot. Res. 20(5), 378\u2013400 (2001)","journal-title":"Int. J. Robot. Res."},{"key":"5_CR18","unstructured":"Lin, M.C., Canny, J.F.: A fast algorithm for incremental distance calculation. In: Proceedings of IEEE International Conference Robotics Automation (ICRA), pp. 1008\u20131014 (1991)"},{"issue":"12","key":"5_CR19","doi-asserted-by":"publisher","first-page":"1477","DOI":"10.1177\/0278364916640908","volume":"35","author":"J Pan","year":"2016","unstructured":"Pan, J., Manocha, D.: Fast probabilistic collision checking for sampling-based motion planning using locality-sensitive hashing. Int. J. Robot. Res. 35(12), 1477\u20131496 (2016)","journal-title":"Int. J. Robot. Res."},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Pan, J., Zhang, X., Manocha, D.: Efficient penetration depth approximation using active learning. ACM Trans. Graph. (2013)","DOI":"10.1145\/2508363.2508305"},{"issue":"5","key":"5_CR21","doi-asserted-by":"publisher","first-page":"3250","DOI":"10.1109\/TIT.2011.2182033","volume":"58","author":"N Srinivas","year":"2012","unstructured":"Srinivas, N., Krause, A., Kakade, S., Seeger, M.: Information-theoretic regret bounds for Gaussian process optimization in the bandit setting. IEEE Trans. Inf. Theor. 58(5), 3250\u20133265 (2012)","journal-title":"IEEE Trans. Inf. Theor."},{"key":"5_CR22","unstructured":"Tran, T.N., Denny, J., Ekenna, C.: Predicting collision detection with a two-layer neural network. (2019)"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Xia, F., Shen, W.B., Li, C., Kasimbeg, P., Tchapmi, M., Toshev, A., Mart\u00edn-Mart\u00edn, R., Savarese, S.: Interactive gibson: a benchmark for interactive navigation in cluttered environments (2020)","DOI":"10.1109\/LRA.2020.2965078"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"Yavari, M., Gupta, K., Mehrandezh, M.: Lazy steering RRT*: an optimal constrained kinodynamic neural network based planner with no in-exploration steering. In: 2019 19th International Conference on Advanced Robotics (ICAR), pp. 400\u2013407 (2019)","DOI":"10.1109\/ICAR46387.2019.8981551"}],"container-title":["Springer Proceedings in Advanced Robotics","Algorithmic Foundations of Robotics XIV"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66723-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T22:34:56Z","timestamp":1724452496000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-66723-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030667221","9783030667238"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66723-8_5","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"value":"2511-1256","type":"print"},{"value":"2511-1264","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WAFR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on the Algorithmic Foundations of Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oulu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Finland","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":"21 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2020","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":"wafr2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/robotics.cs.rutgers.edu\/wafr2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}