An airport parking garage is a giant path-planning problem. Cars arrive at different times, spaces are different sizes, people need to retrieve vehicles quickly, and the robot must avoid walls, columns, and other vehicles. A recent service at Gatwick Airport uses autonomous parking robots that lift cars and place them into organized spaces.

The system described in recent reporting uses a garage layout designed for robot movement. A driver leaves the car in a designated area and the robot takes over the short trip to storage. Because the robot handles the positioning, vehicles can be arranged more closely than they might be if every driver needed to open a door and walk around the car.

The engineering challenge is not just following a line. The robot needs to locate the car, judge its shape and position, carry the weight, and plan a route through a changing environment. Reports describe multiple sensors and a top speed of about 9 miles per hour. Even at that speed, stopping distance, communication, and recovery procedures matter.

Students can build a paper version of the problem. Draw a garage with spaces, blocked lanes, and cars that must be retrieved in different orders. A team can create a route by hand, then write a simple program that chooses the nearest open space. A later round can add priorities, such as retrieving a car before a flight or minimizing total travel distance.

The recent Gatwick report supplies the real-world example. The student takeaway is that autonomous mobility is often a careful logistics problem hidden inside an ordinary activity.

‍