Robotics is the science of perceiving and manipulating the physical world throughĬomputer-controlled mechanical devices. C Sebastian Thrun, Dieter Fox, Wolfram Burgard, 1999-2000Ģ.4.3 Mathematical Derivation of the Bayes Filterģ.4.3 Mathematical Derivation of the Information Filterģ.4.4 The Extended Information Filter Algorithmģ.4.5 Mathematical Derivation of the Extended InformationĤ.1.1 The Discrete Bayes Filter AlgorithmĤ.1.4 Binary Bayes Filters With Static StateĦ.3.2 Adjusting the Intrinsic Model ParametersĦ.6.3 Sensor Model With Known Correspondenceħ.6.1 EKF Localization with Unknown CorrespondencesĨ.3.3 Random Particle MCL: Recovery from FailuresĨ.3.4 Modifying the Proposal Distributionĩ.4.1 The Case for Maintaining Dependenciesĩ.4.2 Occupancy Grid Mapping with Forward Modelsġ0.3 EKF SLAM with Unknown Correspondencesġ0.3.3 Feature Selection and Map Managementġ1.5.1 The EIF SLAM Algorithm With Unknown Correspondenceġ2.8.1 Computing Data Association Probabilitiesġ2.9.1 Calculating Data Association Probaiblitiesġ2.10.1Fusing Maps Acquired by Multiple Robotsġ3.4.3 Efficient Maximum Likelihood Estimationġ3.6.3 The Perceptual Model For Layered Mapsġ4.3 Maximum Likelihood as Gradient Descentġ4.3.3 Suggestions for the Implementationġ4.4 Incremental Mapping with Posterior Estimationġ4.4.2 Correcting Poses Backwards in Timeġ5.3.2 Finding Control Policies in Fully Observable Domains
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