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home / skills / a5c-ai / babysitter / ros2-control

ros2-control skill

/plugins/babysitter/skills/babysit/process/specializations/robotics-simulation/skills/ros2-control

This skill configures ros2_control for hardware abstraction and real-time robot control, enabling precise controllers, joints, and transmissions.

npx playbooks add skill a5c-ai/babysitter --skill ros2-control

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
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---
name: ros2_control Skill
description: Hardware abstraction and controller management using ros2_control framework
slug: ros2-control
category: Control
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
---

# ros2_control Skill

## Overview

Expert skill for configuring the ros2_control framework for hardware abstraction, controller management, and real-time robot control.

## Capabilities

- Configure hardware interfaces (GPIO, system, actuator, sensor)
- Set up controller manager and controller lifecycle
- Implement position, velocity, and effort controllers
- Configure joint trajectory controller
- Set up diff_drive and ackermann controllers
- Implement custom hardware interfaces
- Configure transmission interfaces
- Set up joint limits and saturation
- Implement combined robot controllers
- Debug controller loading and activation

## Target Processes

- robot-system-design.js
- mpc-controller-design.js
- moveit-manipulation-planning.js
- robot-bring-up.js

## Dependencies

- ros2_control
- ros2_controllers
- hardware_interface

## Usage Context

This skill is invoked when processes require hardware abstraction layer setup, controller configuration, or real-time control system integration.

## Output Artifacts

- Hardware interface configurations
- Controller YAML parameters
- URDF ros2_control tags
- Custom hardware interface code
- Controller launch files
- Transmission configurations

Overview

This skill provides expert configuration and management for the ros2_control framework to enable hardware abstraction, controller orchestration, and real-time robot control. It helps produce reproducible hardware interface code, controller parameter sets, and launchable controller stacks for robots. The focus is practical: get controllers loaded, configured, and running reliably on real or simulated robots.

How this skill works

The skill inspects target robot descriptions (URDF) and existing hardware layers, then generates or validates ros2_control tags, transmission entries, and joint limit definitions. It creates controller YAML files, lifecycle management commands, and launch snippets to load, configure, and activate controllers. The skill can scaffold custom hardware_interface implementations and debug common loading or activation issues.

When to use it

  • Bringing up a new robot platform and mapping hardware to ros2_control.
  • Switching from simulation to real hardware or vice versa.
  • Designing combined controllers or tuning joint trajectory controllers.
  • Implementing custom actuators, sensors, or transmission schemes.
  • Debugging controller lifecycle failures or activation order problems.

Best practices

  • Model hardware in URDF with clear joint and transmission tags before controller configuration.
  • Use controller_manager lifecycle transitions explicitly: configure, activate, deactivate, cleanup.
  • Keep controller YAMLs modular and environment-specific (simulation vs hardware).
  • Implement and test custom hardware_interface methods in isolation with unit tests or ros2 topic mocks.
  • Validate joint limits and saturation early to avoid unsafe motions on real robots.

Example use cases

  • Generate hardware_interface scaffolding and tests for a new differential-drive base.
  • Configure joint_trajectory_controller for a 6-DOF manipulator with accurate joint limits and gains.
  • Set up diff_drive_controller or ackermann_drive_controller for mobile robot platforms.
  • Create combined robot controllers that coordinate arm and base under a single control loop.
  • Troubleshoot controller_manager lifecycle issues and fix controller loading/activation order.

FAQ

Does the skill support custom hardware interfaces?

Yes. It scaffolds custom hardware_interface code and helps integrate it with the ros2_control lifecycle and controller_manager.

Can it target both simulation and real hardware?

Yes. Outputs include environment-specific YAMLs and launch snippets so you can switch between Gazebo/simulation and real hardware safely.