Skills Lab
build the workforceThe 9S Robotics Skills Lab offers 9 free curated learning tracks with 45+ verified resources. From ROS 2 fundamentals to cutting-edge Physical AI & Foundation Models, covering the complete skill set for robot deployment, maintenance, safety compliance, teleoperation, and fleet coordination. All resource links are verified for accessibility.
ROS 2 Fundamentals
Master the Robot Operating System 2, the de-facto standard middleware for modern robotics. Covers installation, core concepts (nodes, topics, services, actions), DDS configuration, and migration from ROS 1 (EOL May 2025). Essential foundation for all other tracks.
Robot Deployment & Integration
Learn to deploy and integrate robots in real-world environments. Covers site assessment, autonomous navigation (Nav2), motion planning (MoveIt 2), hardware abstraction (ros2_control), and multi-OEM system integration using ROS Middleware Framework.
Preventive Maintenance & Diagnostics
Develop skills in robot maintenance, sensor calibration, actuator inspection, and battery thermal management. Learn to use ROS diagnostics for fleet health monitoring and leverage OEM training platforms for hands-on troubleshooting.
Physical AI Troubleshooting
Understand Vision-Language-Action (VLA) models, perception pipeline debugging, and sim-to-real transfer. Work with cutting-edge tools like LeRobot, OpenVLA, and NVIDIA Isaac Sim to diagnose and fix physical AI systems — the 'no code, just weights' paradigm.
Safety & Compliance
Navigate the regulatory landscape for robot deployment. Covers ISO 10218 (robot safety), ISO/TS 15066 (collaborative robots), ISO 25785-1, EU AI Act, EU Machinery Regulation 2023/1230, and OSHA robotics guidelines. Essential for deployment professionals.
Teleoperation & Robot Training
Master teleoperation systems and teleop-to-autonomy pipelines. Learn imitation learning with ALOHA/ACT, data collection with UMI, and the emerging 'cyber laborer' role where humans teach robots via demonstration. Covers motion capture, VR interfaces, and diffusion policies.
Multi-Robot Fleet Coordination
Design and manage multi-robot fleets using Open-RMF, VDA 5050, and multi-agent path planning. Covers fleet management architecture, shared learning, RaaS platform integration, traffic de-confliction, and interoperability across heterogeneous robot fleets.
Robotics AI Development
Build machine learning pipelines for robotics: reinforcement learning in simulation, sim-to-real transfer, and GPU-accelerated training. Work with NVIDIA Isaac Lab, MuJoCo Playground, and LeRobot to train robot policies from scratch and deploy them on real hardware.
Physical AI & Foundation Models
Explore the frontier of robot intelligence: Vision-Language-Action (VLA) models, diffusion policies, and world models. Learn to use pi0/OpenPI, GR00T, and SmolVLA to build generalist robot policies that understand language, perceive visually, and act physically.