{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T08:24:00Z","timestamp":1766132640922,"version":"3.48.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016311","name":"Arm","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016311","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iros60139.2025.11246234","type":"proceedings-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:54:45Z","timestamp":1764269685000},"page":"21368-21373","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion"],"prefix":"10.1109","author":[{"given":"Vineet","family":"Punyamoorty","sequence":"first","affiliation":[{"name":"Purdue University,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pascal","family":"Jutras-Dub\u00e9","sequence":"additional","affiliation":[{"name":"Purdue University,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Purdue University,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vaneet","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Purdue University,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Damon","family":"Conover","sequence":"additional","affiliation":[{"name":"DEVCOM Army Research Laboratory,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aniket","family":"Bera","sequence":"additional","affiliation":[{"name":"Purdue University,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"International Conference on Machine Learning","author":"Sohl-Dickstein"},{"key":"ref2","article-title":"Generative modeling by estimating gradients of the data distribution","volume":"32","author":"Song","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref3","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in neural information processing systems"},{"article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"International Conference on Learning Representations","author":"Song","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/100.580977"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2015.7331052"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989037"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461113"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2314"},{"key":"ref10","first-page":"9902","article-title":"Planning with diffusion for flexible behavior synthesis","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Janner"},{"article-title":"Is conditional generative modeling all you need for decision making?","volume-title":"The Eleventh International Conference on Learning Representations","author":"Ajay","key":"ref11"},{"article-title":"An environment for autonomous driving decision-making","year":"2018","author":"Leurent","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/027836499801700706"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2008.4543489"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19457-3_1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2011.2120810"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3050338"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICINFA.2008.4608104"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/7840580"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3127925"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2019.8781522"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-021-00387-2"},{"key":"ref24","article-title":"Deep generative models for offline policy learning: Tutorial, survey, and perspectives on future directions","author":"Chen","year":"2024","journal-title":"Transactions on Machine Learning Research"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"issue":"8","key":"ref26","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"article-title":"Safediffuser: Safe planning with diffusion probabilistic models","year":"2024","author":"Xiao","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1506.02142"},{"key":"ref30","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume":"30","author":"Lakshminarayanan","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10802624"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"issue":"268","key":"ref33","first-page":"1","article-title":"Stable-baselines3: Reliable reinforcement learning implementations","volume":"22","author":"Raffin","year":"2021","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2025,10,19]]},"location":"Hangzhou, China","end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11245651\/11245652\/11246234.pdf?arnumber=11246234","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T08:19:47Z","timestamp":1766132387000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11246234\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/iros60139.2025.11246234","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}