AI & ML Case study
RoboLeMans
An AI-powered leap into autonomous racing
The project
A real-time AI and sensor-driven control system for a LEGO Technic Le Mans car.
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01 · The challenge
Problem
Explore how vision and sensing can let a small physical car react to its environment in real time.
02 · The approach
Process
Combined vision-based gesture detection, ultrasonic sensing, and servo control on a Raspberry Pi, programmed in Python.
03 · The outcome
Result
Delivered a working car controlled by gestures and sensor input in real time.
What it’s made with