{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:39:30Z","timestamp":1757590770357,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/icra.2017.7989520","type":"proceedings-article","created":{"date-parts":[[2017,7,25]],"date-time":"2017-07-25T17:44:28Z","timestamp":1501004668000},"page":"4487-4494","source":"Crossref","is-referenced-by-count":6,"title":["Nonmyopic data association aware belief space planning for robust active perception"],"prefix":"10.1109","author":[{"given":"Shashank","family":"Pathak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antony","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vadim","family":"Indelman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911430419"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914547893"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1287\/moor.12.3.441"},{"key":"ref13","article-title":"Da-bsp: Towards data association aware belief space planning for robust active perception","author":"pathak","year":"2016","journal-title":"Proc Eur Conf AI (ECAI)"},{"key":"ref14","article-title":"Robust active perception via data-association aware belief space planning","author":"pathak","year":"0","journal-title":"arXiv preprint 1606 05124 2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915585395"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1613\/jair.2078","article-title":"Anytime point-based approximations for large pomdps","volume":"27","author":"pineau","year":"2006","journal-title":"J of Artificial Intelligence Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0278364909341659"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1979.1102177"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2005.I.009"},{"key":"ref4","first-page":"2667","article-title":"Selecting good measurements via 11 relaxation: A convex approach for robust estimation over graphs. I","author":"carlone","year":"2014","journal-title":"IEEE Int Conf Intell Robots Syst (IROS)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2014.2320795"},{"key":"ref6","first-page":"183","article-title":"Reinforcement learning with perceptual aliasing: The perceptual distinctions approach","author":"chrisman","year":"1992","journal-title":"Nat Conf on Artificial Intelligence (AAAI)"},{"key":"ref5","article-title":"Risk aversion in belief-space planning under measurement acquisition uncertainty","author":"stephen","year":"2015","journal-title":"IEEE Int Conf Intell Robots Syst (IROS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914561102"},{"key":"ref7","article-title":"Factor graphs and GTSAM: A hands-on introduction","author":"dellaert","year":"2012","journal-title":"Technical Report GT-RIM-CP&R-2012&#x2013;002 Georgia Institute of Technology"},{"journal-title":"International Journal of Robotics Research 2014","year":"0","key":"ref2"},{"key":"ref1","article-title":"Motion planning in non-gaussian belief spaces for mobile robots","author":"agarwal","year":"0","journal-title":"arXiv preprint arXiv 1511 04634 2015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00023-X"},{"key":"ref20","first-page":"1263","article-title":"Motion planning under uncertainty using iterative local optimization in belief space","author":"van","year":"2012","journal-title":"Intl J of Robotics Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914559754"}],"event":{"name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2017,5,29]]},"location":"Singapore, Singapore","end":{"date-parts":[[2017,6,3]]}},"container-title":["2017 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/7960754\/7988677\/07989520.pdf?arnumber=7989520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T12:10:27Z","timestamp":1569931827000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/ieeexplore.ieee.org\/document\/7989520\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":21,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/icra.2017.7989520","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}