Udemy – ROS2 Path Planning and Maze Solving with Computer Vision 2022-4

Description

ROS2 Path Planning and Maze Solving with Computer Vision is a complete tutorial for navigation and motion planning with Robot Operating System 2. This course focuses on robot maze solving behavior in ROS2 based simulation. Our focus in this course is on Computer Vision along with important robotic algorithms for robot movement planning. The type of robot we will use is Differential Drive Robot with a caster wheel. The main topics of the course are Custom Robot Creation, Gazebo and Rviz Integrations, Localization, Orientation and Path Planning. Everything you need from robots to the last node of computer vision, we will cover everything from scratch in this course. In this course, object-oriented programming methods in Python will be used for better program development.

What you will learn in this course:

• Create your own puzzle solving simulation
• Writing search algorithms such as A*, Dijikstra, Min Heap
• Computer vision techniques such as recognition, segmentation and…
• Deep understanding of Custom-built Navigation Graphs

Who is this course for:

• Robotics researchers
• Engineers who want to start working in the fields of computer vision, artificial intelligence and robotics.

Course specifications:

• Publisher : Udemy
• Instructor(s) : Muhammad Luqman, Haider Najeeb
• Language : English
• Level : Intermediate
• Duration : 9h 19m
• number of lessons : 77
• Format : mp4

Course contents 11/2022:

 

Requirements :

• Python basic Programming and Modules
• ROS2 Nodes Communication
• Launch Files

Photos of ROS2 Path Planning and Maze Solving with Computer Vision

Sample clip:

Installation guide :

After extracting, you can watch the course with your favorite video player.

subtitle : English

quality : 720p

Download links :

Download Part 1 – 2GB

Download Part 2 – 2GB

Download Part 3 – 2GB

Download Part 4 – 2GB

Download Part 5 – 421MB

Password : www.abc.com

File size :

8.42 GB