Intermediate 20 hours 12 lessons
Robotics 101
Where intelligence meets the physical world
Give AI a body. Learn how perception, planning and control come together to make machines that sense, decide and move in the real world.
Learning objectives
By the end of this course, you'll be able to:
- Describe the perception → planning → control pipeline
- Use sensor data to estimate where a robot is in the world
- Plan a collision-free path through an environment
- Tune a controller so motion is smooth, not jittery
What you'll build
Project 01
Line-Following Bot (Simulated)
Program a virtual robot to track a line using only its sensors and a feedback loop you design.
Project 02
Grid-World Path Planner
Implement A* search so a robot finds the shortest safe route around obstacles.
Syllabus
4 modules · 12 lessons
- 01
Sensing the World
- Sensors: cameras, lidar, encoders
- Noise, uncertainty and why robots get confused
- Sensor fusion fundamentals
- 02
Knowing Where You Are
- Coordinate frames and transforms
- Localisation basics
- Intro to mapping
- 03
Deciding What To Do
- Search-based path planning
- Cost maps and obstacles
- Reactive vs. deliberative behaviour
- 04
Making It Move
- Open vs. closed loop control
- PID controllers, intuitively
- Capstone: a robot that navigates on its own
Ready to start Robotics 101?
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