Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025

Site Logo
Site Logo

Royal Mail  express delivery to UK destinations

Regular sales and promotions

Stock updates every 20 minutes!

Probabilistic Robotics

4 in stock

Firm sale: non returnable item
SKU 9780262201629 Categories ,
Select Guide Rating
An introduction to the techniques and algorithms of the newest field in robotics.

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, probabil...

£95.00

Buy new:

Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

Shipping costs: All shipping costs calculated in the cart or during the checkout process.

Standard service (normally 2-3 working days): 48hr Tracked service.

Premium service (next working day): 24hr Tracked service – signature service included.

Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

Signature Service: This service is only available for tracked items.

Leave in Safe Place: This option is available at no additional charge for tracked services.

Description

Product ID:9780262201629
Product Form:Hardback
Country of Manufacture:US
Series:Intelligent Robotics and Autonomous Agents series
Title:Probabilistic Robotics
Authors:Author: Dieter Fox, Wolfram Burgard, Sebastian Thrun
Page Count:672
Subjects:Robotics, Robotics, Artificial intelligence, Artificial intelligence
Description:Select Guide Rating
An introduction to the techniques and algorithms of the newest field in robotics.

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.


Imprint Name:MIT Press
Publisher Name:MIT Press Ltd
Country of Publication:GB
Publishing Date:2005-08-19