Active Bibliography

165 Probabilistic Algorithms in Robotics – Sebastian Thrun
153 Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva – S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz - 2000
289 Robotic mapping: A survey – Sebastian Thrun
190 An Online Mapping Algorithm for Teams of Mobile Robots – Sebastian Thrun - 2001
178 A Probabilistic Approach to Collaborative Multi-Robot Localization – Dieter Fox, Wolfram Burgard , Hannes Kruppa, Sebastian Thrun - 2000
97 Adapting the Sample Size in Particle Filters Through KLD-Sampling – Dieter Fox - 2003
52 Particle Filters in Robotics – Sebastian Thrun - 2002
565 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
30 FastSLAM: An efficient solution to the simultaneous localization and mapping problem with unknown data association – Sebastian Thrun, Michael Montemerlo, Daphne Koller, Ben Wegbreit, Juan Nieto, Eduardo Nebot
49 Monte Carlo Filtering for Multi-Target Tracking and Data Association – Jaco Vermaak, Simon J. Godsill, Patrick Pérez - 2004
273 Experiences with an Interactive Museum Tour-Guide Robot – Wolfram Burgard , Armin B. Cremers, Dieter Fox, Dirk Hähnel, Gerhard Lakemeyer, Dirk Schulz , Walter Steiner, Sebastian Thrun - 1998
What is This? – Jose-luis Blanco, Javier González, Juan-antonio Fernández-madrigal, Jose-luis Blanco, Javier González
7 Efficient Multi-Robot Localization Based on Monte Carlo Approximation – Dieter Fox, Wolfram Burgard, Hannes Kruppa, Sebastian Thrun - 1999
1 A Review of Robotic SLAM – Dorian J. Spero, Ray A. Jarvis - 2007
1 A New Solution to the Simultaneous Localisation and Map Building (SLAM) Problem – Dorian Spero, Ray Jarvis, R. A. Jarvis, D. J. Spero, R. A. Jarvis - 2005
Xu, for making EBU II 368 a wonderful and memorable place to learn and work. The many friends I have met at UCR including Bilson Campana, Dr. Jason and Ruth – Anning Chen, Dr. Paul, Irma De Lay, Dr. Ece Gelal, Dr. Ann Gordon-ross, Dr. Weesan Lee, Dr. Mae, Grace Nillos, Terri Phonharath, Arvind Raman - 2009
22 Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes – Sebastian Thrun, John C. Langford, Dieter Fox - 1999
8 Monte Carlo Hidden Markov Models – Sebastian Thrun, John Langford - 1998
20 Unsupervised learning – Zoubin Ghahramani - 2004