Creating and Managing a Lifecycle Node in ROS 2 with C++
When developing complex robotic systems, managing the operational state of each node precisely is essential to ensure stability, safety, and predictability.ROS 2 introduces a key concept to meet this need: Lifecycle Nodes. Unlike standard nodes, which start operating as soon as they are launched, Lifecycle Nodes allow you to explicitly control their behavior through […]
Managing and Creating Lifecycle Nodes in ROS 2
When developing complex robotic systems, the ability to precisely control the operational state of each node is essential to ensure reliability, safety, and maintainability. ROS 2 addresses this need through a key concept: Lifecycle Nodes.Unlike regular nodes that start operating as soon as they are launched, Lifecycle Nodes allow you to manage their life cycle […]
Mastering Nav2 Costmaps in ROS 2: Static, Obstacle, and Inflation Layers Explained
When we move from simple robot experiments to real-world navigation, the environment is no longer an abstract concept. A robot needs to understand where it can move, where it cannot, and how to plan paths that are not only valid but also safe and efficient. This is where costmaps come into play in ROS 2 […]
Building Smarter Robots with Behavior Trees in ROS 2
Discover how Behavior Trees can help you structure intelligent robot behaviors in ROS 2 using modular logic, clear control flow, and intuitive tools like Groot. 🤖 Why Behavior Matters in Robotics Robots that operate in the real world face much more than just navigation tasks. They need to handle dynamic environments, unpredictable humans, and ambiguous […]
Pure Pursuit Controller
Introduction to Motion Planning Motion planning is a core component of autonomous robots that deals with finding and following a path for the robot to reach a goal safely. High-level (global) motion planners typically compute a static path through the environment, but real robots operate in dynamic environments where obstacles or conditions can change rapidly. […]
Mapping with slam_toolbox
Autonomous mobile robots must both build a map of their unknown environment and localize themselves within it. Tackling mapping and localization as separate tasks often leads to drift and inconsistencies. The hard reality is: if you treat mapping and localization independently, your robot’s map will be unreliable, and localization will degrade over time. Simultaneous Localization […]
Self Driving and ROS – Learn by Doing!
Odometry & Control
Create a Self-Driving robot and learn about Robot Localization and Sensor Fusion using Kalman Filters. Enroll Now Get Started with Autonomous Mobile Robots Section 1 Introduction to ROS 2 Get started with ROS 2, the latest version of Robot Operating System! ROS is the most widely used framework for building all kinds of robots, from […]
Self Driving and ROS 2 – Learn by Doing!
Odometry & Control
Create a ROS2 Self-Driving robot with Python and C++. Master Odometry, Control and Sensor Fusion using Kalman Filters. Enroll Now Get Started with Autonomous Mobile Robots Section 1 Introduction to ROS 2 Get started with ROS 2, the latest version of Robot Operating System! ROS is the most widely used framework for building all kinds […]
Self Driving and ROS 2 – Learn by Doing!
Plan & Navigation
Create a ROS2 Self-Driving robot with Python and C++. Master Navigation, Planning and Decision Making with Behavior Tree. Enroll Now Get Started with Autonomous Mobile Robots Section 1 Introduction to ROS 2 Get started with ROS 2, the latest version of Robot Operating System! ROS is the most widely used framework for building all kinds […]
Self Driving and ROS 2 – Learn by Doing!
Map & Localization
Create a ROS2 Self-Driving robot with Python and C++. Master Robot Localization, Mapping and SLAM. Enroll Now Get Started with Autonomous Mobile Robots Section 1 Introduction to ROS 2 Get started with ROS 2, the latest version of Robot Operating System! ROS is the most widely used framework for building all kinds of robots, from […]
