ROS 2 Essentials

A quick Recap on why ROS 2 is invented to improve upon ROS.

I Why ROS 2

Feature ROS ROS 2
Computational Resources Strong, local resources Potentially limited locally
Number of Agents Few agents Hundreds of agents
Network Reliability Stable and reliable Not always reliable
Application Research-oriented Commercial and industrial use

1. Limitations of ROS:

  • ROS is no longer used exclusively for scientific research.
  • More ROS-based products are being commercialized.
  • The increasing variety of application scenarios introduces additional requirements for the system.

2. Various demands in the era of intelligent robotics:

  • Streamlined methods for multi-robot systems
  • heterogeneous system compatibility
  • Real-time performance capabilities
  • Robustness to changing network conditions
  • Better suitability for commercial products
  • Lifetime project management

II Main differences

1. A revolution on architecture

In ROS, all nodes are managed by a single node called “Master”. This increases the risk of single point failure. In ROS2, the discovery mechanism based on DDS mitigates the risk.

  • Date Distribution Service (DDS): A middleware standard that enables real-time, decentralized communication between applications.
The architectures of ROS and ROS 2.

2. Re-design of the API

ROS 2 adopts the latest C++ standards and Python 3 while retaining most of the familiar usage patterns.

3. Build-process Upgrade

In ROS 2, the build process is based on ament and colcon, replacing the older rosbuild and catkin systems used in ROS 1. Ament provides a more modular and extensible build framework, while colcon acts as a higher-level build tool that supports parallel builds, better dependency handling, and cleaner workspace management. Together, they offer a more reliable and scalable workflow, especially for large, multi-package ROS projects.




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