This course is focus on Maze Solving behavior of robot In a Simulation based on ROS2. Computer Vision is the key focus with integrated important robotics algorithms of Motion Planning . The type of robot we will be using is Differential Drive Robot with a caster wheel . Course is structured with below main headings .
•Custom Robot Creation
•Gazebo and Rviz Integerations
•Localization
•Navigation
•Path Planning
From our robot to last computer vision Node ,we will create every thing from scratch . Python Object Oriented programming practices will be utilized for better development.
Learning Outcomes
– Simulation Part
•Creation Custom Robot Design in Blender ( 3D modeling )
•Bringing Maze Bot into ROS Simulation powered by Gazebo and RVIZ
•Drive your robot with Nodes
•Add Sensor for better perception of Environment
•Build different Mazes to be solved
– Algorithm Part
•Localization with Fore and Back ground extraction
•Mapping with Graphs Data Structure
•Path Planning with
•A* search
•Dijikstra
•DFS Trees
•Min Heap
•Navigation while avoiding Obstacles and GTG behavior
Pre-Course Requirments
Software Based
•Ubuntu 20.04 (LTS)
•ROS2 – Foxy Fitzroy
•Python 3.6
•Opencv 4.2
Skill Based
•Basic ROS2 Nodes Communication
•Launch Files
•Gazebo Model Creation
•Motivated mind 🙂
All the codes for reference are available on git hub repository of this course .
Get a good idea by going through all of our free previews available and feel free to Contact in case of any confusion 🙂
