Autonomous Robots: Path Planning
172 students enrolled
Autonomous Robots: Path Planning
Use A* (a-star) Search to find a route to drive between any two locations in New York City, just like Google Maps does!
172 students enrolled
Current price: $17.99
Original price: $29.99
Discount:
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This course includes
- 3.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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What you'll learn
- Path Planning
- Robotics
- Python
Course content
Expand all
19 lectures
03:37:53
+
–
Introduction
5 lectures
44:39
+
–
BFS and DFS Grid World
4 lectures
01:08:33
BFS and DFS Intro
10:47
BFS and DFS Implementation
21:51
Assignment 1 - Intro
14:51
Assignment 1 - Solution
21:04
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–
A* Search Grid World
4 lectures
45:52
A* Search Intro
15:58
Assignment 2 - Intro
06:38
Assignment 2 - Solution 1
14:13
Assignment 2 - Solution 2
09:03
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–
A* Search New York City
3 lectures
18:14
New York City Intro
03:34
Assignment 3 - Intro
09:06
Assignment 3 - Solution
05:34
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–
A* Search - Advanced Heuristics
2 lectures
35:29
Assignment 4 - Intro
22:11
Assignment 4 - Solution
13:18
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–
Outro
1 lecture
05:06
Outro
05:06
Requirements
- No Python or programming experience required. I'll teach you everything you need to know.
Description
Path Planning in robotics aims to find an optimal and viable path from your current location to your goal location. This is very important for any robot that must move something in the real world, whether it's a robotic arm or a self-driving car.
This course will teach the A* search algorithm, which is a fundamental robotics algorithm. This algorithm was even used on the very first mobile robot, Shakey the Robot.
Who this course is for:
- Current or future Roboticists looking to learn about a core part of the robotics software stack