{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:51:10Z","timestamp":1783385470098,"version":"3.54.6"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2023YFB4704600"],"award-info":[{"award-number":["2023YFB4704600"]}]},{"name":"Shandong Provincial Natural Science Foundation for Distinguished Young Scholars","award":["ZR2022JQ28"],"award-info":[{"award-number":["ZR2022JQ28"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62373221"],"award-info":[{"award-number":["62373221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tro.2025.3600125","type":"journal-article","created":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T18:18:29Z","timestamp":1755627509000},"page":"5149-5168","source":"Crossref","is-referenced-by-count":29,"title":["Parallel MPPI With Gradient-Velocity Modulated SDF Cost for High-Performance Real-Time Dynamic Obstacle Avoidance by Robot Manipulators"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3308-870X","authenticated-orcid":false,"given":"Lelai","family":"Zhou","sequence":"first","affiliation":[{"name":"Center for Robotics, School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5877-6941","authenticated-orcid":false,"given":"Zhengmao","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Robotics, School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5906-5074","authenticated-orcid":false,"given":"Yibin","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Robotics, School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5882-9768","authenticated-orcid":false,"given":"Shaoping","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Materials and Production, Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"967","article-title":"Motion policy networks","volume-title":"Proc. Conf. Robot Learn.","author":"Fishman","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161427"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342397"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546877"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2024.3378179"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3324520"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2975727"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2018.2865891"},{"key":"ref9","first-page":"750","article-title":"STORM: An integrated framework for fast joint-space model-predictive control for reactive manipulation","volume-title":"Proc. Conf. Robot Learn.","author":"Bhardwaj","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/icra46639.2022.9812109"},{"key":"ref11","first-page":"840","article-title":"Information theoretic model predictive Q-learning","volume-title":"Proc. Learn. Dyn. Control","author":"Bhardwaj","year":"2020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160214"},{"key":"ref13","first-page":"1733","article-title":"Learning sampling distributions for model predictive control","volume-title":"Proc. Conf. Robot Learn.","author":"Sacks","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3315211"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/56.2083"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/icra.2012.6225337"},{"issue":"6","key":"ref18","first-page":"1","article-title":"Efficient sparse voxel octreesanalysis, extensions, and implementation","volume":"2","author":"Laine","year":"2010","journal-title":"NVIDIA Corp."},{"key":"ref19","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","volume-title":"Proc. 19th Int. Conf. Med. Image Comput. Comput.-Assisted Interven.","author":"iek","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29363-9_5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561516"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980280"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152817"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3227860"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981456"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/humanoids.2015.7363472"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/iros45743.2020.9341369"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811615"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812228"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3010633"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6942636"},{"key":"ref34","article-title":"ISAAC gym: High performance GPU-based physics simulation for robot learning","author":"Makoviychuk","year":"2021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2021.3056060"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2009.2035744"},{"key":"ref37","article-title":"Filters the robots body out of point clouds and laser scans","year":"2023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/icra48891.2023.10160765"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-015-0187-9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1613\/jair.295"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919846363"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8860\/10778592\/11129890.pdf?arnumber=11129890","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T23:26:22Z","timestamp":1768951582000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11129890\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tro.2025.3600125","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}