Monte Carlo method
Related papers: 20
Top Researchers
Top Cited Papers
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Monte Carlo localization for mobile robots
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On the Representation and Estimation of Spatial Uncertainty
Randall C. Smith, Peter Cheeseman
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Monte Carlo localization: efficient position estimation for mobile robots
Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun
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Anytime Motion Planning using the RRT*
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The CyberKnife® Robotic Radiosurgery System in 2010
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High-Resolution, Small Animal Radiation Research Platform With X-Ray Tomographic Guidance Capabilities
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An Introduction to Sequential Monte Carlo
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Sensor resetting localization for poorly modelled mobile robots
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KLD-Sampling: Adaptive Particle Filters
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A monte carlo approach to the analysis of control system robustness
Laura Ray, Robert F. Stengel
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Robust vision-based localization by combining an image-retrieval system with Monte Carlo localization
Jürgen Wolf, Wolfram Burgard, H. Bürkhardt
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An experimental comparison of localization methods continued
J.-S. Gutmann, D. Fox
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Monte Carlo Localization with Mixture Proposal Distribution
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Dec-MCTS: Decentralized planning for multi-robot active perception
Graeme Best, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, Robert Fitch
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Model-based ‘Chase-the-Ball’ Calibration of a 5-Axes Machining Center
B. Bringmann, Wolfgang Knapp
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Hybrid Learning Algorithm of Radial Basis Function Networks for Reliability Analysis
Dequan Zhang, Ning Zhang, Nan Ye, Jianguang Fang, Xu Han
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Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Randal Douc, Nando de Freitas, Kevin J. Murphy, Stuart Russell
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Integral concurrent learning: Adaptive control with parameter convergence using finite excitation
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Global Localization of Objects via Touch
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