Internship← Robotics learning pathRobotics · Module 8 of 10
Navigation, mapping and AI
Help robots find their way and recognise things.
📖 Key ideas
- SLAM builds a map while localising the robot.
- Path planning algorithms: A*, Dijkstra, RRT.
- Obstacle avoidance uses sensors in real time.
- Computer vision detects objects (YOLO) and lanes.
- Reinforcement learning trains behaviours in simulation.
💡 Real-life example: SLAM is exploring a dark house with a torch, drawing the map as you walk.
SLAMSimultaneous Localisation and Mapping
A*Heuristic shortest-path algorithm
LocalisationEstimating robot position
Path planningFinding a route