Autonomous Robots- Path Planning
- Development
- Mar 03, 2025

Autonomous Robots: Path Planning, available at $19.99, has an average rating of 4.7, with 21 lectures, based on 93 reviews, and has 7825 subscribers.
You will learn about Enough about A* Search (A-star) and Path Planning to defend it in an interview General robotics systems knowledge Python and its usefulness in robotics This course is ideal for individuals who are Current or future Roboticists looking to learn about a core part of the robotics software stack It is particularly useful for Current or future Roboticists looking to learn about a core part of the robotics software stack.
Enroll now: Autonomous Robots: Path Planning
Summary
Title: Autonomous Robots: Path Planning
Price: $19.99
Average Rating: 4.7
Number of Lectures: 21
Number of Published Lectures: 20
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 20
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Ever Wondered How Google Maps Calculates the Route To Your Destination? Learn How To Design A Path Planning System of Your Own!
Knowing how to plan a path between your current location and your goal is an essential skill whether its for a self-driving car / autonomous vehicle, a roomba, or even an app like Uber, Waze, or Google Maps.
In this course you won’t just learn concepts but will also have a chance to implement, test, and a see the results of your work in real time. For the final project of this course you will need to plan a path between any two locations in New York City. Like Frank Sinatra says, if you can plan a path there, you can plan one anywhere!
With this course, you can level up your knowledge, add an additional skill to your robotics arsenal, and do it all through a program that feels more like a game than it does a class.
This course will teach the A* search algorithm, which is a fundamental robotics algorithm. This algorithm is so fundamental it was even used on the very first mobile robot, Shakey the Robot.
What are you waiting for?
Enroll now and see what you can learn.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Problem Setup
Lecture 2: Simulator Setup
Lecture 3: Conda Environments
Lecture 4: Old Simulator Setup
Lecture 5: What to do if you are still have issues with Python
Lecture 6: Assignment 0 – Intro
Chapter 2: BFS and DFS Grid World
Lecture 1: BFS and DFS Intro
Lecture 2: BFS and DFS Implementation
Lecture 3: Assignment 1 – Intro
Lecture 4: Assignment 1 – Solution
Chapter 3: A* Search Grid World
Lecture 1: A* Search Intro
Lecture 2: Assignment 2 – Intro
Lecture 3: Assignment 2 – Solution 1
Lecture 4: Assignment 2 – Solution 2
Chapter 4: A* Search New York City
Lecture 1: New York City Intro
Lecture 2: Assignment 3 – Intro
Lecture 3: Assignment 3 – Solution
Chapter 5: A* Search – Advanced Heuristics
Lecture 1: Assignment 4 – Intro
Lecture 2: Assignment 4 – Solution
Chapter 6: Outro
Lecture 1: Outro
Instructors

Daniel Stang, MSc
Robotics Software Engineer
Rating Distribution
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!
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