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Recursive Bayesian estimation
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#	Item
1	Mission Energy Prediction for Unmanned Ground Vehicles Using Realtime Measurements and Prior Knowledge Add to Reading List Source URL: robotics.umich.edu Language: English - Date: 2016-08-04 12:43:38 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Unmanned ground vehicle Prediction Regression analysis Prognostics Confidence interval Normal distribution Recursive least squares filter
2	PDF Document Add to Reading List Source URL: fritzo.org Language: English - Date: 2014-06-13 18:57:34 Bayesian statistics Statistical models Bayesian network Networks Bayesian inference Recursive Bayesian estimation
3	Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-05-18 23:41:21 Estimation theory Robot control Linear filters Signal processing Monte Carlo methods Particle filter Recursive Bayesian estimation Kalman filter Simultaneous localization and mapping Statistics Control theory Electronic engineering
4	Pose Estimation for Contact Manipulation with Manifold Particle Filters Michael C. Koval Mehmet R. Dogar Nancy S. Pollard Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2013-08-19 15:30:49 Statistics Linear filters Robot control Monte Carlo methods Computational statistics Particle filter Kalman filter XT Recursive Bayesian estimation Control theory Electronic engineering Estimation theory
5	Manifold Representations for State Estimation in Contact Manipulation Michael C. Koval, Nancy S. Pollard, and Siddhartha S. Srinivasa Abstract We investigate the problem of using contact sensors to estimate the configura Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2014-06-23 09:46:15 Signal processing Statistical inference Robot control Particle filter XT Contact geometry Manifold Importance sampling Recursive Bayesian estimation Statistics Monte Carlo methods Estimation theory
6	Particle Attraction Localisation Damien George () Nick Barnes () Add to Reading List Source URL: dpgeorge.net Language: English - Date: 2008-10-19 21:32:57 Estimation theory Electronic engineering Linear filters Particle filter Kalman filter Recursive Bayesian estimation Normal distribution Statistics Control theory Robot control
7	Probabilistic Algorithms in Robotics Sebastian Thrun April 2000 CMU-CSSchool of Computer Science Add to Reading List Source URL: robots.stanford.edu Language: English - Date: 2000-04-24 10:40:19 Cybernetics Control theory Linear filters Estimation theory Occupancy grid mapping Recursive Bayesian estimation Kalman filter Robotic mapping Robotics Robot control Robot navigation Artificial intelligence
8	Robotic Mapping: A Survey Sebastian Thrun February 2002 CMU-CSSchool of Computer Science Add to Reading List Source URL: robots.stanford.edu Language: English - Date: 2002-02-14 16:56:31 Signal processing Electronic engineering Control theory Robot control Occupancy grid mapping Estimation theory Simultaneous localization and mapping Recursive Bayesian estimation Kalman filter Robot navigation Linear filters Statistics
9	Bootstrapping Particle Filters using Kernel Recursive Least Squares Boris Oreshkin and Mark Coates Department of Electrical and Computer Engineering McGill University Montreal, QC, Canada Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2007-02-22 17:55:34 Control theory Estimation theory Robot control Linear filters Filter theory Particle filter Kalman filter Recursive Bayesian estimation Least squares Statistics Signal processing Electronic engineering
10	J. Vis. Commun. Image R. xxx[removed]xxx–xxx Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: www.elsevier.com/locate/jvci Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-08-27 13:44:52 Robot navigation Linear filters Estimation theory Bayesian statistics Control theory Recursive Bayesian estimation Electronic engineering Hidden Markov model Markov chain Markov models Statistics Occupancy grid mapping