Fabro Scientist - Level 4

ROS (ROBOTIC OPERATING SYSTEM)

Welcome to this introductory course on Robotic Operating System (ROS)! In this course, we will learn how to develop an indoor navigation system using ROS.

ROS is a powerful open-source framework that provides a collection of software libraries and tools to help you build complex robotic systems. It provides a standardized communication infrastructure for different parts of the robot, making it easy to integrate different sensors, actuators, and controllers. With ROS, you can develop a wide range of robotic applications, from simple mobile robots to advanced humanoid robots Read more...

Robot:

  • ROS (ROBOTIC OPERATING SYSTEM)

Duration:

  • 90 hours

Eligibility:

  • Should have completed FABRO Scientist – Level 3 course in JAY Robotics Club

Required:

  • Expert knowledge in C Programming
  • A laptop for programming the microcontroller

 

Course Content:

Sessions
  • What is Robotic operating system?(ROS)
  • Revolution Ros has done in the field of robotics
  • Ros compatible boards
  • Why python programming language?
  • Machine vision devices for artificial intelligence
  • lidar
  • Object detection using Ai
  • Map using lidar
  • Assembling of robot
  • Slam
  • Movement of automatic driving robot

FABRO Scientist - Level 4

ROS (ROBOTIC OPERATING SYSTEM)
  • Each participant will get a complete robotic kit and a course completion certificate
Call us for Fee Details

In this course, we will be focusing on developing an indoor navigation system using ROS. Navigation is one of the most critical functions of any mobile robot, and it involves many complex tasks, such as mapping, localization, path planning, and obstacle avoidance. By the end of this course, you will have a solid understanding of how to build a robust indoor navigation system using ROS.

The first part of the course will cover the basics of ROS, including its architecture, communication model, and various tools and libraries. We will also learn how to set up a ROS environment on your computer and how to create a ROS package to organize your code. The second part of the course will focus on mapping and localization. We will learn how to use various sensors, such as laser scanners and cameras, to build a map of the environment and to estimate the robot’s position and orientation.

The third part of the course will cover path planning and obstacle avoidance. We will learn how to use the ROS navigation stack, which provides a set of algorithms and tools for path planning and obstacle avoidance. We will also learn how to use the move_base package to plan and execute the robot’s motion along a given path. Finally, we will integrate all the components of the indoor navigation system into a single ROS node and test it on a simulated robot. We will use the Gazebo simulator, which is a powerful tool for simulating robotic systems in a 3D environment.

Throughout the course, we will use Python as the primary programming language for ROS. Python is a popular language for scientific computing and data analysis, and it has many libraries and tools that are useful for robotics. By the end of this course, you will have gained the skills and knowledge required to develop an indoor navigation system using ROS. You will be able to apply these skills to a wide range of robotics applications, from autonomous drones to industrial robots.

We hope you find this course informative and enjoyable. Let’s get started!

error: Content is protected !!