Contents Menu Expand Light mode Dark mode Auto light/dark mode
This is the documentation of ROS 2 PAL OS edge. For ROS 1, please visit the PAL OS 23.12 documentation.
PAL OS 25.01 documentation
Logo
PAL OS 25.01 documentation

Capabilities and API

  • 🏁 Getting started
  • βš™οΈ Robot hardware
    • TIAGo Pro
    • TIAGo Head
    • Kangaroo
    • TIAGo
    • TRIAGo
    • ARI
    • PAL Mobile bases
    • Overview of the robot’s controllers
    • Accessing your robot’s sensors
    • 🚧 LIDARs sensors
    • 🚧 RealSense RGB-D cameras
    • End-effectors
    • Calibrate arms with Series Elastic Actuators
    • 🚧 Communication buses
    • 🚧 PAL gripper camera
    • 🚧 PAL Hey5 camera
    • 🚧 Optris thermal camera
    • 🚧 Velodyne VLP-16
    • 🚧 Tutorial: Displaying the URDF 3D model of your robot
    • Recording audio with ROS and Python
    • Robot hardware skills
    • LEDs API
    • Using the Nvidia Jetson accelerator
    • Microphone array and audio recording
  • πŸ›  Robot management
  • πŸ“œ Developing applications
  • πŸ‘‹ Gestures and motions
  • 🧭 Navigation
  • 🦾 Manipulation
  • πŸ‘₯ Social perception
  • πŸ’¬ Communication
  • πŸ˜„ Interaction
  • πŸ’‘ Knowledge and reasoning
  • πŸ–₯️ User interfaces

Reference

  • PAL OS edge Highlights
  • PAL public skills API
  • PAL OS modules
  • Frequently Asked Questions
  • Glossary
  • Index
  • Tutorials
  • 🚧 Demos
  • List of ROS Topics
  • List of ROS Actions
  • List of ROS Services
  • List of ROS Nodes
  • List of ROS messages
  • List of ROS Parameters
Back to top

Robot hardware skillsΒΆ

This page lists system skills (ie, installed by default) related to βš™οΈ Robot hardware. You can directly use these skills in your tasks and mission controller.

  • /led_manager_node/do_effect

    Controls the various LEDs or PAL’s robots. You can select the desired set of LEDs, a colour effect, duration and priority, as well as provide effect-specific parameters (like the desired color).

    See LEDs API for details.

Copyright © 2024, PAL Robotics
Made with Sphinx and @pradyunsg's Furo