Probabilistic Robotics

	Title:	Probabilistic Robotics
	Authors:	Sebastian Thrun, Wolfram Burgard, Dieter Fox
	Edition:	1st. - 2005
	Publisher:	The MIT Press
	Pages:	672
	Language:	English
	ISBN-10	0262201623
	ISBN-13	978-0262201629
	Format:	PDF
	Size (MB):	9.5
	Book Description: Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations.This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, http://www.probabilistic-robotics.org, has additional material.The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data. Table of Contents: 1 Introduction 2 Recursive State Estimation 3 Gaussian Filters 4 Nonparametric Filters 5 Robot Motion 6 Robot Perception 7 Mobile Robot Localization: Markov and Gaussian 8 Mobile Robot Localization: Grid And Monte Carlo 9 Occupancy Grid Mapping 10 Simultaneous Localization and Mapping 11 The GraphSLAM Algorithm 12 The Sparse Extended Information Filter 13 The FastSLAM Algorithm 14 Markov Decision Processes 15 Partially Observable Markov Decision Processes 16 Approximate POMDP Techniques 17 Exploration Copyright Disclaimer: This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.