Course 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 like A*, Dijikstra, Min Heap
- Computer vision techniques such as recognition, segmentation, etc.
- Deep understanding Custom-built Navigation Graphs
Who is this course suitable for?
- Robotics researchers
- Engineers who want to start working in the fields of computer vision, artificial intelligence and robotics.
Course specifications :
- Publisher: Udemy
- teacher : Muhammad Luqman, Haider Najeeb
- English language
- Education level: Intermediate
- Duration: 9 hours and 19 minutes
- Number of courses: 77
- File format: mp4
Headlines of the 2022/11 period:
Course prerequisites:
- Python Basic Programming and Modules
- ROS2 Nodes Communication
- Launch Files
Pictures of ROS2 Path Planning and Maze Solving with Computer Vision
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
8.42 GB
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