ROS Developers Live-Class #51: How to fuse Odometry & IMU using Robot Localization Package
40.1 هزار بار بازدید -
5 سال پیش
-
One way to get a
One way to get a better odometry from a robot is by fusing wheels odometry with IMU data. We're going to see an easy way to do that by using the robot localization package, an amazing ROS package that allows to mix any sensor information into a more stable and exact localization data by using Kalman Filters. Even if robot_localization allows to mix many sensor data, in this class we are going to concentrate on mixing odometry with IMU only. We'll use a simulation of the Summit XL robot. But also, we'll test our algorithms in a real Summit XL robot that Robotnik company has sent to us for preparing the classes. Some selected attendants to the class will get access to the robot during the class in a remote way through the ROSDS platform, so you will connect with a real robot located in Barcelona from anywhere in the world. notebook with instructions and ROS code. If you missed the class, you can find the ROSject files and full-code used in the class at the Robot Ignite Academy: https://www.robotigniteacademy.com
ROSject link: http://www.rosject.io/l/8b7777a/?utm_...
Related Course:
Mastering with ROS: SUMMIT XL: https://app.theconstructsim.com/Cours...
ROS Navigation: https://app.theconstructsim.com/Cours...
Fuse Sensor Data to Improve Localization: https://app.theconstructsim.com/Cours...
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Every Tuesday at 18:00 CET / CEST. This is a LIVE Class on how to develop with ROS. In Live Classes, you will practice with me at the same time that I explain, with the provided free ROS material.
IMPORTANT: Remember to be on time for the class because at the beginning of the class we will share the code with the attendants for free.
IMPORTANT 2: in order to start practicing quickly, we are using the ROS Development Studio for doing the practice. You will need a free account to attend the class. Go to http://rosds.online and create an account prior to the class.
// RELATED LINKS
▸ ROS Development Studio, to develop and test ROS programs on the cloud: http://rosds.online
▸ Robot Ignite Academy, to learn everything about ROS in a useful guided manner: http://www.robotigniteacademy.com
▸ The Construct, the company behind this Live Class: http://www.theconstruct.ai
▸ Robotnik, the company that created Summit XL robot (and others): http://www.robotnik.es
▸ ROS Components shop, the online shop were to buy your sensors and actuators for your ROS based robots.
All the components are certified to work with ROS from minute 1: http://www.roscomponents.com
#ros #OdometryIMU #RobotLocalization
ROSject link: http://www.rosject.io/l/8b7777a/?utm_...
Related Course:
Mastering with ROS: SUMMIT XL: https://app.theconstructsim.com/Cours...
ROS Navigation: https://app.theconstructsim.com/Cours...
Fuse Sensor Data to Improve Localization: https://app.theconstructsim.com/Cours...
=============== =============
Every Tuesday at 18:00 CET / CEST. This is a LIVE Class on how to develop with ROS. In Live Classes, you will practice with me at the same time that I explain, with the provided free ROS material.
IMPORTANT: Remember to be on time for the class because at the beginning of the class we will share the code with the attendants for free.
IMPORTANT 2: in order to start practicing quickly, we are using the ROS Development Studio for doing the practice. You will need a free account to attend the class. Go to http://rosds.online and create an account prior to the class.
// RELATED LINKS
▸ ROS Development Studio, to develop and test ROS programs on the cloud: http://rosds.online
▸ Robot Ignite Academy, to learn everything about ROS in a useful guided manner: http://www.robotigniteacademy.com
▸ The Construct, the company behind this Live Class: http://www.theconstruct.ai
▸ Robotnik, the company that created Summit XL robot (and others): http://www.robotnik.es
▸ ROS Components shop, the online shop were to buy your sensors and actuators for your ROS based robots.
All the components are certified to work with ROS from minute 1: http://www.roscomponents.com
#ros #OdometryIMU #RobotLocalization
5 سال پیش
در تاریخ 1398/01/06 منتشر شده
است.
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