Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series) Intelligent Robotics and Autonomous Agents series Edition

by Sebastian Thrun (Author), Wolfram Burgard (Author), Dieter Fox (Author)

37 customer reviews

ISBN-13: 978-0262201629

ISBN-10: 0262201623

Why is ISBN important?

Trade in your item
Get a $25.37
Gift Card.

Trade in
Learn More

Have one to sell? Sell on Amazon

Buy used On clicking this link, a new layer will be open

$51.48 On clicking this link, a new layer will be open

Condition: Used - Very Good

In Stock. Sold by mitp_books

Access codes and supplements are not guaranteed with used items.

27 Used from $51.48

+ $3.99 shipping

Buy new On clicking this link, a new layer will be open

$75.74 On clicking this link, a new layer will be open

In Stock.

Ships from and sold by Amazon.com. Gift-wrap available.

List Price: $85.00 Save: $9.26 (11%)

36 New from $56.63

FREE Shipping.

Turn on 1-Click ordering

More Buying Choices

36 New from $56.63 27 Used from $51.48

63 used & new from $51.48

See All Buying Options

Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student

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.

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)

$75.74 FREE Shipping. In Stock. Ships from and sold by Amazon.com. Gift-wrap available.

Frequently Bought Together

Total price: $224.55

One of these items ships sooner than the other. Show details

Buy the selected items together

This item:Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series) by Sebastian Thrun Hardcover $75.74
In Stock.
Ships from and sold by Amazon.com.
FREE Shipping. Details
Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and… by Howie Choset Hardcover $82.45
Only 12 left in stock (more on the way).
Ships from and sold by Amazon.com.
FREE Shipping. Details
Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents series) by Roland Siegwart Hardcover $66.36
In Stock.
Ships from and sold by Amazon.com.
FREE Shipping. Details

Customers Who Bought This Item Also Bought

Page 1 of 1 Start overPage 1 of 1

This shopping feature will continue to load items. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading.

Howie Choset

4

Hardcover
$82.45
Roland Siegwart

11

Hardcover
$66.36
Richard Hartley

26

Paperback
$113.28
Peter Corke

26

Paperback
$73.04
Morgan Quigley

8

Paperback
$47.49
Ian Goodfellow

37

in Artificial Intelligence…
Hardcover
$72.00

Editorial Reviews

Review

A robot is an uncertainty machine: its perception and decision-making capabilities must embed at their core the processes dealing with uncertainty. The book is an essential reference for the student, the teacher, and the researcher to understand the basics and the advanced methods of estimation theory, and the probabilistic models and processes underlying robot localization, SLAM, and decion making. A 'muust have' textbook!

(Raja Chatila, LAAS-CNRS, France)

Probabilistic Robotics is a tour de force, replete with material for students and practitioners alike.

(Gaurav S. Sukhatme, Associate Professor of Computer Science and Electrical Engineering, University of Southern California)

About the Author

Dieter Fox is Associate Professor of Computer Science at the University of Washington.

NO_CONTENT_IN_FEATURE

Start reading Probabilistic Robotics instantly on your Kindle Fire or on the free Kindle apps for iPad, Android tablet, PC or Mac. Don't have a free Kindle app? Get yours here

Product Details

Series: Intelligent Robotics and Autonomous Agents series
Hardcover: 672 pages
Publisher: The MIT Press; Intelligent Robotics and Autonomous Agents series edition (August 19, 2005)
Language: English
ISBN-10: 0262201623
ISBN-13: 978-0262201629
Product Dimensions: 8 x 1.1 x 9 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review: 4.6 out of 5 stars See all reviews (37 customer reviews)
Amazon Best Sellers Rank: #102,141 in Books (See Top 100 in Books)
- #70 in Books > Computers & Technology > Computer Science > Robotics
- #87 in Books > Engineering & Transportation > Engineering > Industrial, Manufacturing & Operational Systems > Robotics & Automation
- #261 in Books > Engineering & Transportation > Engineering > Mechanical

Customer Reviews

4.6 out of 5 stars

5 star		73%
4 star		19%
3 star		8%
2 star		0%
1 star		0%

Write a customer review

See all verified purchase reviews

Top Customer Reviews

Superb

ByRavi Mohanon July 15, 2006

Format: Hardcover

The authors took 6 years to write this book. And it shows. This is a mindblowing tour through the algorithms used at the cutting edge of Robotics.

What is good

1. Every algorithm has descriptive text, mathematical derivations AND pseudo code. More importantly it all meshes into a cohesive whole.

2. The progression of chapters is excellent, starting with basic algorithms and proceeding to more advanced/refined algorithms.

3.There is a consistent practical focus with algorithms being explained in the context of solving real world problems in robotics.

4. The exercises are few in number , but are *perfect* to illuminate each chapter's ideas and encourage the reader to start thinking on his own.

5. There is a comprehensive errata page on the book's website.

6. Last but not least, the tone of the writing is very engaging. The reader is not talked down to. It is almost as if the authors were in your study carefully guiding you through an intellectual wonderland.

The bad.

Hmmm i can't think of anything. It is great book. I just wish the authors would write MORE books like this :-)

About the only caveat is that a reader should have *some* degree of mathematical insight before attempting this book. The authors do cover elementary probability theory etc in the initial chapters, and they do a good job given the space constraints. But in my opinion if you have absolutely no experience in probability theory or calculus, you should probably learn from other books and then tackle this one. This is, after all, a graduate level text.

11 comment 40 people found this helpful. Was this review helpful to you?YesNo

Delivers even more than it promises

ByJoshua DaviesVINE VOICEon August 28, 2008

Format: Hardcover

This is really an amazing book - it more than fulfilled my expectations.
It starts from the very basics of probability theory and clearly derives
Kalman Filtering, Particle Filtering, Probabilistic Motion and Probabilistic
Perception in the first 6 chapters. From there it moves on to talk about
Localization and Mapping completely separately (which I appreciated, since
the two topics are far easier to comprehend independently) in chapters 7 and
8 and then finally introduces SLAM (the main topic of the book) in chapter
9. From there it goes on to discuss various SLAM algorithms and implementations,
and finally rounds out with planning and control (that is, the practical
application of SLAM algorithms).

I can't imagine a more well-researched academic work. Every point is backed
up with examples and illustrations, and every algorithm is derived rigorously.
Even better, the mathematical derivations are set apart from the main text
so that a more "casual" reader can skip over the derivations and still get
some benefit from the text (and believe me, the math parts of this book are
very involved!). The authors assume a working knowledge of trigonometry,
calculus and linear algebra (although you could likely make some sense of the
book even if you're rusty in any of these areas). However, since the book
is about probability, you'll probably need some background in probability
theory to get any value from this text. Chapter 2 contains a refresher on
probability theory, but I doubt it would be enough to decipher the later
chapters if you had no background in the subject. I found myself having to
go back and look up the details of Bayes Rule and multivariate conditional
probability more than once.

My only gripe with this book is that each chapter includes suggested exercises
(good) but no answers/cross-check (bad). Especially considering the open-ended
nature of the exercises, it's almost not worth attempting them (or even reading
them), since you'll never know if you got the right answer, or were even on the
right track. There's no "student supplement" (at least not as I write this),
so the exercises are fairly pointless.

However, that aside, this is one of the best academic books I've read in a very
long time. I had been struggling through academic papers from IEEE and ACM on
the topic of SLAM, and only comprehending about half of it before I picked up
"Probabilistic Robotics". After reading this book carefully (I actually had
to read it twice to get it all to sink in), I'm actually zipping through the
academic papers, and understanding everything I read. You couldn't ask for a
better introduction to probabilistic robotics and SLAM.

0Comment 28 people found this helpful. Was this review helpful to you?YesNo

Learn the material elsewhere, and then read this book

ByDMon November 24, 2011

Format: Hardcover

Think of a situation where you had an extremely good lecturer for some subject at uni. The lecturer explained everything very nicely using a host of slides, examples etc. Now, if after the lectures you go back and look at the slides again, you'll probably understand what the slides mean and remember what the lecturer said with regard to each slide. But, as is typical in any course, the slides doesn't contain all the information you learnt during the course. The explanations from the lecturer were critical in understanding the slides.

Now, think of the situation where someone who didn't attend the course, try to learn the subject, just by reading through the slides. This is generally extremely difficult. especially because the slides themselves doesn't contain all the information required to comprehend them.

This book is exactly that. It's a set of slides from a good lecture, but without the important other bits of information required to properly comprehend the ideas presented with it. I feel that the authors assume that the readers already know what they are talking about, and goes on skipping over the details required to properly grasp those concepts. If you've already learnt the topics in the book from by some other means, then you'll be able to understand what the authors are trying to say, and would end up ranking this book as an excellent book. But, my question is, if you already knew those things, why would you read this book in the first place.

BUT, it's not a worthless book. Few of the sections are explained in a very intuitive manner. Also, it's a good book for those who already know the concepts, but want to put them altogether in a coherent manner, with respect to robotics. Also, it is a good source for those who are looking for a list of state-of-the-art algorithms in mobile robotics.

11 comment 25 people found this helpful. Was this review helpful to you?YesNo

Most Recent Customer Reviews

an impressive research-level text

The book presents what is currently the frontier of probabilistic research in robotics. This is explained as a means of a robot coping with inadequate information from its...Read more

Published on July 3, 2006 by W Boudville

Excellent resource for implementing SLAM

This is by far the best resource that I have found for collating a large number of internally consistent SLAM algorithms into a single volume.Read more

Published on September 18, 2007 by Billy McCafferty

plenty of math and theory ....

This book has plenty of math and theory in regards to state estimation and SLAM. However, it is really lacking in details and examples of implementation.Read more

Published on June 13, 2009 by K., Marc

A superb textbook and reference

Robotics is a vast field. At the center of its computational side are the algorithms for spatial reasoning: mapping, localizing, and navigating.Read more

Published on June 22, 2006 by Zachary Dodds

A great treatment of the subject

I work in avionics, not robotics, but I ordered this book because it seemed to cover a lot of the subjects that are now making their way into avionics systems.Read more

Published on June 17, 2014 by Thomas Edward

Excellent content.. prevalent errors are a (minor) problem

Overall, this is an EXCELLENT book. It is packed with really good information and explained in well written English.Read more

Published on May 22, 2012 by David

The Robotics Reference

This textbook is the standard reference for probabilistic robotics in the areas of navigation and mapping.Read more

Published on July 25, 2010 by Chris Mansley

Best explanation of the Kalman filter I have read yet.

As someone with a multi-discipline background that includes some control theory, I am always frustrated by the "explanations" that control theorists attempt to put forward...Read more

Published on June 10, 2013 by mds1016

Very comprehensive

Short of writing your code for you, this tolme, provides general algorithms that can be applied to any sensor or configuration.Read more

Published on April 30, 2014 by peter

Great book from a great roboticist.

Excellent book for master degree students in robotics, it contains a large variety of topics which are just explored enough to understand and to allow you for further research.Read more

Published on May 6, 2014 by Orlando Garcia Alvarez

Set up an Amazon Giveaway

Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Learn more about Amazon Giveaway

This item: Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)

Set up a giveaway

What Other Items Do Customers Buy After Viewing This Item?

Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents series) Hardcover

Roland Siegwart

11

$66.36
Deep Learning (Adaptive Computation and Machine Learning series) Hardcover

Ian Goodfellow

37

$72.00
Programming Robots with ROS: A Practical Introduction to the Robot Operating System Paperback

Morgan Quigley

8

$47.49
Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series) Hardcover

Howie Choset

4

$82.45

Pages with Related Products. See and discover other items: wolfram language

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series) Intelligent Robotics and Autonomous Agents series Edition

Buy used On clicking this link, a new layer will be open $51.48 On clicking this link, a new layer will be open

Turn on 1-Click ordering

Buy new On clicking this link, a new layer will be open $75.74 On clicking this link, a new layer will be open

Turn on 1-Click ordering

Frequently Bought Together

Customers Who Bought This Item Also Bought

Editorial Reviews

Review

About the Author

Product Details

Customer Reviews

Top Customer Reviews

Most Recent Customer Reviews

Set up an Amazon Giveaway

What Other Items Do Customers Buy After Viewing This Item?

Buy used On clicking this link, a new layer will be open

$51.48 On clicking this link, a new layer will be open

Buy new On clicking this link, a new layer will be open

$75.74 On clicking this link, a new layer will be open