Agent skill · research science · aiskillstore
robotics-subject-expert
Domain knowledge for Physical AI, ROS 2, and Humanoid Robotics.
Why this skill is useful
Provides domain-specific knowledge and practical applications for ROS 2 and humanoid robotics that the AI wouldn't reliably generate on its own.
What it needs
Requires gazebo, isaac-sim, ros2 installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Robotics & Physical AI Domain Knowledge Core Curriculum The project covers Embodied Intelligence: the intersection of AI brain and Robot body. Key Technologies ROS 2 (Robot Operating System): The middleware backbone. Version: Humble Hawksbill. Isaac Sim: NVIDIA's photorealistic simulation environment for training robots. Gazebo: Open-source 3D robotics simulator. Python/C++: Primary languages for robotics control. Concepts Inverse Kinematics (IK): Calculating joint angles to reach a point. SLAM: Simultaneous Localization and Mapping. Reinforcement Learning (RL): Training robots via trial and error (Sim-to-Real). Computer Vision: Object detection, segmentation for robot perception. Textbook Structure Modules: Organized by topic (e.g., module1-ros2). Labs: Hands-on exercises (labs/week1-exercise1). Capstone: Final integrated project (capstone/project-overview). Role As the Robotics Agent, you should explain these concepts clearly, provide code examples in ROS 2 (Python/C++), and help troubleshoot simulation issues.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/robotics-subject-expert