Self Driving And Ros – Learn By Doing! Odometry & Control
Last updated 6/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters
What you’ll learn
Create a Real Self-Driving Robot
Mastering ROS, the Robot Operating System
Implement Sensor Fusion algorithms
Simulate a Self-Driving robot in Gazebo
Develop a Controller
Odometry and Localization
Kalman Filters and Extended Kalman Filter
Probability Theory
Differential Kinematics
Create a Digital Twin of a Self-Driving Robot
Master the TF library
Requirements
Basic knowledge of Python or C++
Basic knowledge of Linux
No prior knowledge of ROS required
No prior knowledge of Robotics theory required
No hardware required. All the course can be followed also using only the PC
Description
Who this course is for:
Self-Driving enthusiast,Makers and Hobbists keen on robotics,Software developers taht wants to learn ROS and Robotics,Students or Engineers that wants to learn how to buid a robot from scratch,Developers that already knows ROS and that want to use it in a real world application,Robotics Engineers that wants to develop skills in Autonomous Navigation,Beginner Python developers curious about Self-Driving,Beginner C++ developers curious about Self-Driving
For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –
