Learn AI Robotics
Master the fusion of artificial intelligence and robotics. From ROS frameworks to perception systems and motion planning — build intelligent robots that can sense, think, and act in the real world.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is AI Robotics? Explore how artificial intelligence transforms robotics with perception, decision-making, and autonomous behavior.
2. ROS Framework
Learn the Robot Operating System (ROS) — the de facto standard for building robot software with nodes, topics, and services.
3. Perception
Implement computer vision, LiDAR processing, and sensor fusion to give robots the ability to understand their environment.
4. Motion Planning
Master path planning algorithms, kinematics, dynamics, and obstacle avoidance for robot navigation and manipulation.
5. Simulation
Use Gazebo, MuJoCo, and other simulators to test and validate robot behaviors before deploying to real hardware.
6. Best Practices
Safety protocols, testing strategies, deployment guidelines, and production-ready robotics development workflows.
What You'll Learn
By the end of this course, you'll be able to:
Build Intelligent Robots
Design and program robots that can perceive their environment, make decisions, and execute complex tasks autonomously.
Master ROS Development
Write production-quality robot software using the Robot Operating System ecosystem and its extensive library of packages.
Implement Perception
Process camera, LiDAR, and IMU data to build robust perception pipelines for object detection, SLAM, and scene understanding.
Simulate & Deploy
Test robot behaviors in realistic simulations and confidently deploy AI-powered robots to real-world environments.
Lilly Tech Systems