How to install rclc on ROS 2 Humble?

Source your ROS 2 Humble environment, clone the rclc repository into a colcon workspace, build with 'colcon build', and manually install missing dependencies like osrf_testing_tools_cpp using apt-get, as specified in the README.

Is rclc or rclcpp better for embedded robotics?

rclc is better for embedded systems due to its C interface and deterministic executor, offering lower overhead and real-time capabilities. rclcpp, however, provides more features and a richer ecosystem for general-purpose robotics with C++ abstractions.

How do I use the deterministic executor in rclc?

Refer to the rclc_examples package for code snippets; the executor allows setting up callbacks with timing controls to achieve deterministic behavior, and the README details its features compared to rclcpp.

What are the main limitations of rclc?

Key limitations include the single-threaded executor, which prevents multithreading, and the project's non-production status, meaning it's best for development and testing rather than critical deployments.

Can rclc handle lifecycle nodes?

Yes, through the rclc_lifecycle package, which provides convenience functions for creating and managing lifecycle nodes, integrating with the ROS 2 lifecycle state machine as described in the repository.

How to test rclc after installation?

Run 'colcon test --packages-select rclc' in your workspace to execute unit tests, and ensure all dependencies are installed; the README notes that packages like test_msgs might need manual setup.

rclc — ROS 2 Client Library for C

What is rclc?

rclc is a ROS 2 client library for the C programming language that complements the ROS Client Support Library (rcl). It provides essential convenience functions for creating ROS 2 entities like publishers and subscriptions, and introduces key components missing in rcl, such as a deterministic executor and lifecycle node support. This enables efficient development of ROS 2 applications in C, particularly for embedded systems and real-time scenarios.

Target Audience

ROS 2 developers working in C, especially those targeting embedded systems, real-time applications, or any scenario requiring deterministic behavior and low-level control without the overhead of C++ abstractions.

Value Proposition

Developers choose rclc because it offers a lightweight, C-native interface to ROS 2 that complements rcl without adding unnecessary abstraction layers, providing missing features like a deterministic executor and lifecycle nodes that are essential for real-time and embedded development.

ROS Client Library for the C language.

Use Cases

Best For

Developing ROS 2 applications in C for embedded systems with resource constraints.
Implementing real-time ROS 2 nodes that require deterministic timing behavior.
Building lifecycle-managed nodes in C for state-controlled robotics systems.
Creating parameter servers in C with full ROS 2 parameters client compatibility.
Writing lightweight ROS 2 clients where avoiding C++ abstractions like rclcpp is beneficial.
Educational or prototyping scenarios where simple C examples of ROS 2 concepts are needed.

Not Ideal For

Safety-critical production systems requiring certified software, as the project explicitly states it is not ready for production use.
Applications needing multithreaded node execution, since the rclc executor is limited to single-threaded operation.
Teams heavily reliant on the C++ ROS 2 ecosystem with tools like rviz or rqt, as rclc's C interface may not integrate seamlessly with higher-level abstractions.
Rapid prototyping where Python's rclpy offers faster development cycles with dynamic typing and extensive libraries.

Pros & Cons

Pros

Deterministic Executor Features

Provides an executor with capabilities for implementing deterministic timing behavior, a key advantage over rclcpp's executor for real-time applications, as highlighted in the README.

Minimal Abstraction Overhead

Complements rcl without adding new abstraction layers, keeping the code lightweight and close to the hardware, which is ideal for embedded systems with resource constraints.

Lifecycle Node Integration

Introduces rclc Lifecycle Node that bundles rcl Node with the ROS 2 lifecycle state machine, enabling state-controlled nodes in C for robust robotics systems.

Comprehensive Example Package

Includes rclc_examples with practical demonstrations of key features like convenience functions and the executor, aiding in learning and reducing initial setup time.

Cons

Not Production-Ready

The project disclaimer explicitly states it has not been developed or tested for specific use cases and is not suitable for safety-critical production environments, limiting its immediate applicability.

Single-Threaded Executor Limitation

The executor is single-threaded, as noted in known issues, restricting concurrency and potentially hampering performance in complex applications requiring parallel node management.

Manual Dependency Management

Requires manual installation of packages like osrf_testing_tools_cpp and test_msgs, which might not be in default ROS 2 distributions, adding setup complexity and potential for errors.

What is rclc?

Target Audience

Value Proposition

Use Cases

Best For

Developing ROS 2 applications in C for embedded systems with resource constraints.
Implementing real-time ROS 2 nodes that require deterministic timing behavior.
Building lifecycle-managed nodes in C for state-controlled robotics systems.
Creating parameter servers in C with full ROS 2 parameters client compatibility.
Writing lightweight ROS 2 clients where avoiding C++ abstractions like rclcpp is beneficial.
Educational or prototyping scenarios where simple C examples of ROS 2 concepts are needed.

Not Ideal For

Safety-critical production systems requiring certified software, as the project explicitly states it is not ready for production use.
Applications needing multithreaded node execution, since the rclc executor is limited to single-threaded operation.
Teams heavily reliant on the C++ ROS 2 ecosystem with tools like rviz or rqt, as rclc's C interface may not integrate seamlessly with higher-level abstractions.
Rapid prototyping where Python's rclpy offers faster development cycles with dynamic typing and extensive libraries.

Pros & Cons

Pros

Deterministic Executor Features

Provides an executor with capabilities for implementing deterministic timing behavior, a key advantage over rclcpp's executor for real-time applications, as highlighted in the README.

Minimal Abstraction Overhead

Complements rcl without adding new abstraction layers, keeping the code lightweight and close to the hardware, which is ideal for embedded systems with resource constraints.

Lifecycle Node Integration

Introduces rclc Lifecycle Node that bundles rcl Node with the ROS 2 lifecycle state machine, enabling state-controlled nodes in C for robust robotics systems.

Comprehensive Example Package

Includes rclc_examples with practical demonstrations of key features like convenience functions and the executor, aiding in learning and reducing initial setup time.

Cons

Not Production-Ready

Single-Threaded Executor Limitation

The executor is single-threaded, as noted in known issues, restricting concurrency and potentially hampering performance in complex applications requiring parallel node management.

Manual Dependency Management

Requires manual installation of packages like osrf_testing_tools_cpp and test_msgs, which might not be in default ROS 2 distributions, adding setup complexity and potential for errors.

rclc

What is rclc?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

rclc

What is rclc?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?