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About Artificial Intelligence
This document provides an introduction to localization for robotics. It discusses how a robot can use sensors and probability to determine its location within an environment. The document explains that a robot's initial belief about its location is a uniform probability distribution across all possible positions. As the robot senses landmarks and moves around, it updates its probability distribution using Bayes' rule and convolution. Through multiple measurements over time, the robot becomes more certain of its position. Programming exercises are provided to help understand these localization concepts.
Detailed Information
| Author: | ['Sidharth Gaur'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 39 |
| Language: | English |
| Format: | |
| Price: | FREE |
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