Eltronicschool. - This is one a book of robotic engineering categorize that titled with Probabilistic Robotics Intelligent Robotics and Autonomous Agents series Edition that authored by Sebastian Thrun and his friends.
In here, beside we will give you global description about this book, we also we will give you link to take free download e-book of Probabilistic Robotics Intelligent Robotics and Autonomous Agents series Edition by Sebastian Thrun from external server.
Description
This is Probabilistic Robotics Intelligent Robotics and Autonomous Agents series Edition by Sebastian Thrun for you who want to get more reference about robotic intelligent. 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, 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.
Download E-book
Description
This is Probabilistic Robotics Intelligent Robotics and Autonomous Agents series Edition by Sebastian Thrun for you who want to get more reference about robotic intelligent. 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, 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.
About the Author
- Dieter Fox is Associate Professor of Computer Science at the University of Washington.
Table of Contents
- 1 Introduction 3
- 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
Download E-book
And now you can click the link below to take free download e-book of Probabilistic Robotics Intelligent Robotics and Autonomous Agents series Edition by Sebastian Thrun from external server easily.
or
0 comments:
Post a Comment
Thank's for your reading in this article, please don't forget to comment.