Robotics & AI
Where AI meets the physical world. Understand how robots perceive their environment, plan actions, and learn from experience. Covers robot anatomy, sensors, SLAM, path planning, reinforcement learning for control, and the real-world applications transforming industry, healthcare, and daily life.
Instructor
JP Instructor
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This course includes:
- 10 hours of comprehensive lessons
- Hands-on coding exercises and challenges
- Code examples with syntax highlighting
- Certificate of completion
- Lifetime access to all content
- Mobile-friendly, works offline
Course Curriculum
Module 1: Introduction to Robotics
Understand what robots are, how they are built, and what makes robotics uniquely challenging.
What is a Robot?
Preview10 minutes
Robot Anatomy — Sensors and Actuators
Preview14 minutes
Robot Operating System (ROS) Overview
14 minutes
Module 2: Robot Perception
How robots build a model of the world around them.
3D Sensing — LIDAR and Depth Cameras
14 minutes
SLAM — Simultaneous Localisation and Mapping
16 minutes
Sensor Fusion
14 minutes
Module 3: AI for Robot Control
Teaching robots to move intelligently.
Path Planning
14 minutes
Reinforcement Learning for Robotics
16 minutes
Imitation Learning and Learning from Demonstration
14 minutes
Module 4: Robotics Applications
Where AI-powered robots are deployed today and where the field is heading.
Industrial and Collaborative Robots
12 minutes
Autonomous Vehicles
14 minutes
Humanoid Robots and the Future
14 minutes
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