Arduino Q-Learning Line Follower Kit with Arduino Uno + Motor
Arduino Q-Learning Line Follower Kit: Build an AI Robot That Learns to Follow Lines
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Instead of hard-coding a PID controller, you’ll train a Q-learning agent directly on the Arduino to map IR sensor states to motor commands. Over 20 laps it discovers the most efficient line-following strategy, smoothing turns and correcting drifts that traditional algorithms miss. This kit brings real reinforcement learning to your desk, no cloud, no external computer — just the robot and its evolving Q-table.
What You'll Build
You’ll assemble a two-wheeled robot carrying a three-sensor line array, then flash a reinforcement learning sketch that populates a Q-table as it runs. Watch the behavior improve lap by lap: early wobbles give way to confident tracking, and the robot learns to recover from sharp corners it could not handle at the start. By the final lap it follows any black line on a white surface with minimal deviation.
What You'll Learn
- Implement a Q-learning reinforcement learning algorithm on a microcontroller with limited RAM
- Map analog IR sensor readings to discrete states for efficient learning and table lookup
- Tune reward functions and balance exploration/exploitation trade-offs in a physical system
- Diagnose sensor noise, motor latency, and battery droop that affect learning convergence
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Uno R3 | x1 |
| TCRT5000 IR Module | x3 |
| L298N Motor Driver | x1 |
| TT Gear Motor | x2 |
| 2WD Chassis | x1 |
| Castor Wheel | x1 |
| 18650 Cell | x2 |
| 18650 Holder | x1 |
| USB Cable | x1 |
| M-F Wires | x20 |
| M-M Wires | x10 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Designed for CBSE Class 11–12 students tackling AI/ML practicals and B.Tech ECE/EEE first‑years exploring reinforcement learning. ATL Tinkering Lab members and Smart India Hackathon participants can prototype an adaptive robot quickly. IIT, NIT, VIT, and BITS freshers also use this kit as a hands-on first step into embedded AI.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Our AI companion walks you through wiring and code uploads, and you can send a WhatsApp message for human help within hours.
How does the Q-learning algorithm fit on an Arduino with such limited memory?
The sensor states are discretised into a compact Q-table of only a few hundred entries, stored in EEPROM so learning persists across power cycles.
Can I use a custom track shape, or is it tied to one layout?
The agent learns any black-line-on-white pattern. You can change the track between runs; it adapts its policy to the new geometry.
What if I want to train for more than 20 laps?
The default sketch includes a configurable lap counter. You can increase it to see if the policy refines further, or lower it for faster sessions.
Q-learning agent on Arduino replaces hard-coded PID — learns optimal motor response from IR sensor states over 20 laps.
What's in this kit
- Arduino Uno R3
- TCRT5000 IR Module x3
- L298N Motor Driver
- TT Gear Motor x2
- 2WD Chassis
- Castor Wheel
- 18650 Cell x2
- 18650 Holder
- USB Cable
- M-F Wires x20
- M-M Wires x10
Other projects you can build
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items