Autonomous Robots- Localization

Autonomous Robots: Localization, available at $19.99, has an average rating of 4.8, with 43 lectures, based on 86 reviews, and has 8901 subscribers.

You will learn about How to use a Particle Filter to properly localize a robot! This course is ideal for individuals who are Aspiring roboticists It is particularly useful for Aspiring roboticists.

Enroll now: Autonomous Robots: Localization

Summary

Title: Autonomous Robots: Localization

Price: $19.99

Average Rating: 4.8

Number of Lectures: 43

Number of Published Lectures: 43

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

How to use a Particle Filter to properly localize a robot!

Who Should Attend

Aspiring roboticists

Target Audiences

Aspiring roboticists

FYI all Aspiring Roboticists: Your Robot Will Not Work Without Localization! Learn How to Solve This!

Want to learn the ins and outs of localization in robotics in an easy-to-follow, hands-on, streamlined online course? This program is for you. My course will introduce you to a variety of valuable robotics concepts in a way that is easy to understand and implement, even for robotics beginners!

You won’t just be lectured on concepts, you’ll have the chance to put it all to use. You’ll make your own code and test it, just as you would in an in-person workshop. Through our custom online simulator, you can see the results of your solution and how it would work on an autonomous robot in the real world!

Learning new skills gives you a competitive advantage. Learning about localization gives you another tool to add to your robotics toolbox, and gives you the ability to take on more complex projects. Whether you want to put your coding knowledge to use in your workplace, school, or in your garage (because you just find robots fun; I find them fun, too) this course can help you level up your game.

Check out the course and get started experimenting, exploring and seeing what you can do!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Intro

Lecture 2: Python Intro and Install Guide

Lecture 3: What to do if you are still have issues with Python

Lecture 4: Problem Setup

Chapter 2: Least Squares

Lecture 1: Least Squares

Lecture 2: Assignment 1 Walkthrough

Lecture 3: Assignment 1 Solution

Chapter 3: 1D Bayes Rule

Lecture 1: Localization Example

Lecture 2: Simple Bayes Part 1

Lecture 3: Simple Bayes Part 2

Lecture 4: Simple Bayes Part 3

Lecture 5: Assignment 2 Part 1 Walkthrough

Lecture 6: Assignment 2 Part 2 Walkthrough

Lecture 7: Assignment 2 Solution

Chapter 4: 1D Particle Filter

Lecture 1: Toy Particle Filter

Lecture 2: Assignment 3 Part 1 Walkthrough

Lecture 3: Assignment 3 Part 1 Solution

Lecture 4: Movement Uncertainty

Lecture 5: Assignment 3 Part 2 Walkthrough

Lecture 6: Assignment 3 Part 2 Solution

Lecture 7: Measurement

Lecture 8: Assignment 3 Part 3 Walkthrough

Lecture 9: Assignment 3 Part 3 Solution

Lecture 10: Measurement Uncertainty

Lecture 11: Assignment 3 Part 4 Walkthrough

Lecture 12: Assignment 3 Part 4 Solution

Lecture 13: Resampling

Lecture 14: Assignment 3 Part 5 Walkthrough

Lecture 15: Assignment 3 Part 5 Solution

Lecture 16: Assignment 3 Part 6 Walkthrough

Lecture 17: Assignment 3 Part 6 Solution

Chapter 5: 2D Particle Filter

Lecture 1: 2D Movement

Lecture 2: Assignment 4 Walkthrough

Lecture 3: Assignment 4 Part 1 Solution

Lecture 4: 2D Measurement

Lecture 5: Assignment 4 Part 2 Solution

Lecture 6: 2D Update Weights

Lecture 7: 2D Resample

Lecture 8: Assignment 4 Part 4 Solution

Lecture 9: Assignment 4 Part 5 Solution

Lecture 10: Assignment 4 Part 6 Solution

Lecture 11: Assignment 4 Part 3 Solution

Chapter 6: Outro

Lecture 1: Outro

Instructors

Daniel Stang, MSc
Robotics Software Engineer

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 9 votes

4 stars: 32 votes

5 stars: 43 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!