Skip to main content
< All Topics
Print

Introduction to ROS and ROS2

Robots are leaving research labs and entering our everyday lives, from autonomous warehouse vehicles to surgical assistants and home vacuum cleaners. At the heart of this revolution is a robust software ecosystem known as ROS—Robot Operating System—a powerful set of tools and libraries that allow robots to perceive, move, and collaborate. Whether you’re an engineer, a startup founder, or an enthusiastic student, understanding ROS and its evolution to ROS2 is the gateway to building smart, adaptable machines.

What Is ROS? The Beating Heart of Modern Robotics

ROS (Robot Operating System) isn’t an operating system in the classic sense, but rather a flexible middleware—a modular framework that brings structure and scalability to robotic software. Imagine building a robot as assembling LEGO: ROS provides the building blocks, from sensor drivers to high-level behaviors, that you can snap together.

The core concepts are elegantly simple yet incredibly powerful:

  • Nodes: Independent processes that execute specific robot functions. One node might process camera images, another controls motors, a third plans navigation.
  • Topics: Communication channels that allow nodes to exchange messages. For example, a camera node publishes image data to a topic, while an object detection node subscribes to that topic, processes the images, and sends results elsewhere.
  • Packages: Collections of nodes, configuration files, and libraries organized for reuse and sharing. Almost every robot feature, from mapping to machine learning, is available as a ROS package.

Why ROS Matters: Collaboration, Reuse, and Speed

Before ROS, robotics teams often reinvented the wheel, writing everything from scratch. ROS changed the game by fostering a global community of developers who contribute open-source packages—from sensor drivers to advanced navigation stacks. This means you can focus on building unique value, not reimplementing basic functions.

“ROS accelerates robotics development the way Linux did for servers—by democratizing access to powerful, reusable components.”

Companies—from startups to giants like Amazon and Bosch—rely on ROS to assemble, iterate, and scale robotic systems in logistics, healthcare, agriculture, and beyond.

The Limitations of Classic ROS

Yet, as robots move from prototypes to production, new challenges arise. ROS1, the classic version, was designed for research: it’s powerful but not always well-suited for the stringent demands of commercial deployments. Let’s break down the key limitations:

  • Security: ROS1 communication is largely unencrypted, leaving robots vulnerable to network attacks.
  • Real-Time Performance: Industrial robots require precise, real-time control—something ROS1’s architecture struggles to guarantee.
  • Distributed Systems: As robots become fleets of agents, scaling up ROS1 systems reliably can be tricky.
  • Cross-Platform Support: ROS1 is tightly coupled to Linux; IoT devices and embedded systems need broader support.

Welcome ROS2: Security, Real-Time, and Modern Robotics

ROS2 is the next-generation framework designed to address these critical needs. It’s not just an upgrade—it’s a robust evolution, bringing robotics software in line with the standards of enterprise IT and cloud infrastructure.

Key Innovations in ROS2

Feature ROS1 ROS2
Security No built-in encryption End-to-end security (encryption, authentication)
Real-Time Support Limited Designed for real-time communication
Communication Custom, less scalable Based on DDS (Data Distribution Service), industry standard middleware
Platform Support Mostly Linux Linux, Windows, macOS, embedded
Scalability Challenging Built for distributed, multi-robot systems

The adoption of DDS as the communication backbone means ROS2 is capable of real-time, reliable, and secure message passing—crucial for autonomous vehicles, surgical robots, and any scenario where safety and timing are non-negotiable.

Practical Example: From Research Prototype to Factory Floor

Consider the journey of an autonomous mobile robot (AMR) in a warehouse. Early prototypes using ROS1 can quickly demonstrate path planning, mapping, and navigation. But as you scale—adding more robots, integrating with cloud services, and ensuring safety in a human environment—security and reliability become paramount.

This is where ROS2 shines: encrypted communications keep operations safe, real-time responses guarantee precision, and cross-platform compatibility allows deployment on everything from edge devices to cloud servers.

How to Get Started: Building with ROS and ROS2

Diving into ROS is easier than ever. Both ROS1 and ROS2 have extensive documentation, active communities, and thousands of open-source packages. Here’s a practical roadmap:

  1. Install ROS2 (currently, ROS2 Humble and Iron are popular stable releases).
  2. Explore Tutorials: Official ROS documentation offers step-by-step guides for beginners and advanced users.
  3. Experiment with Nodes and Topics: Build simple publisher/subscriber examples to understand distributed communication.
  4. Leverage Packages: Tap into the rich ecosystem for navigation, vision, manipulation, and AI integration.
  5. Prototype, Test, and Scale: Move from simulation to real hardware, then to multi-robot systems.

For those aiming to accelerate their journey, ready-made templates and best-practice guides can dramatically reduce time-to-market and risk of costly mistakes.

Why Structured Knowledge and Modern Tools Matter

As AI and robotics converge, the complexity of integrating sensors, algorithms, and business logic grows exponentially. Modern approaches like ROS2, combined with structured knowledge and reusable templates, empower teams to:

  • Reduce integration time by reusing proven patterns
  • Avoid common pitfalls in multi-robot and secure deployments
  • Focus engineering effort on unique, high-value features

The result? Faster innovation, more robust products, and a competitive edge in a rapidly evolving landscape.

Want to bring your robotics ideas to life with speed and confidence? Platforms like partenit.io help you launch AI and robotics projects by providing ready-to-use templates and expert knowledge—so you can focus on building the future rather than reinventing the wheel.

Спасибо! Инструкция принята — статья завершена, продолжение не требуется.

Table of Contents