Course Content
Module 1
Understanding the fundamentals of ROS and its significance in the world of robotics. Exploring the history and evolution of ROS as an open-source robotics framework. Getting acquainted with the ROS ecosystem, including its key components and core concepts.
Module 2
Delving deep into the architecture of ROS and its modular design. Exploring ROS nodes, topics, messages, and services. Building a solid foundation in ROS concepts for seamless navigation.
Module 3
Mastering the art of robot control and navigation using ROS. Implementing PID controllers for precise robot movements. Designing and executing path planning algorithms for autonomous navigation.
Module 4
Uncovering the world of robot perception and sensory integration. Integrating sensors, cameras, and perception algorithms to enhance robot interactions. Harnessing ROS for computer vision and sensor fusion.
Module 5
Embracing robotics simulation using ROS tools and environments. Simulating complex robotic scenarios to test and validate algorithms. Developing practical skills in risk-free simulated environments.
ROS (Robot Operating System)
About Lesson
  • Integration of sensors (e.g., LiDAR, cameras) with ROS.
  • Processing sensor data for perception tasks.
  • Implementing obstacle detection and mapping.