%0 Conference Paper %1 torma2010 %A Torma, P. %A György, A. %A Szepesvári, Cs. %B AISTATS %D 2010 %K MCMC Monte-Carlo SLAM, application, methods, robotics, theory, %P 605--612 %T A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping %V 9 %X A Markov-chain Monte Carlo based algorithm is provided to solve the Simultaneous localization and mapping (SLAM) problem with general dynamics and observation model under open-loop control and provided that the map-representation is finite dimensional. To our knowledge this is the first provably consistent yet (close-to) practical solution to this problem. The superiority of our algorithm over alternative SLAM algorithms is demonstrated in a difficult loop closing situation.

@inproceedings{torma2010, abstract = {A Markov-chain Monte Carlo based algorithm is provided to solve the Simultaneous localization and mapping (SLAM) problem with general dynamics and observation model under open-loop control and provided that the map-representation is finite dimensional. To our knowledge this is the first provably consistent yet (close-to) practical solution to this problem. The superiority of our algorithm over alternative SLAM algorithms is demonstrated in a difficult loop closing situation.}, added-at = {2020-03-17T03:03:01.000+0100}, author = {Torma, P. and Gy{\"o}rgy, A. and Szepesv{\'a}ri, {Cs}.}, biburl = {https://www.bibsonomy.org/bibtex/2503c17d6eb494f1707ee06042414ee9e/csaba}, booktitle = {AISTATS}, date-added = {2010-08-28 17:38:14 -0600}, date-modified = {2015-08-02 01:03:00 +0000}, interhash = {074eac416b8db9c568aa40fa98432770}, intrahash = {503c17d6eb494f1707ee06042414ee9e}, keywords = {MCMC Monte-Carlo SLAM, application, methods, robotics, theory,}, month = May, pages = {605--612}, pdf = {papers/mcmc-slam.pdf}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {A {M}arkov-Chain {M}onte {C}arlo Approach to Simultaneous Localization and Mapping}, volume = 9, year = 2010 }