01 · Autonomous mobile robot
AI Mech
Learn smart mobility through autonomous driving
- Recommended for
- Upper elementary to high school
- Recommended hours
- 4~16차시
A mecanum-wheel mobile robot that drives in every direction, follows lines, avoids obstacles, and runs AI Vision missions — teaching the principles of autonomous driving and smart mobility.
01 Overview
Overview
AI Mech is a mecanum-wheel mobile autonomous robot that lets students code and learn the core principles of self-driving and AI perception firsthand.
Learners work through omnidirectional driving, line tracing, obstacle avoidance, and AI vision missions to explore smart mobility.
Gguge Teachers supports schools and institutions end-to-end — robot supply, curriculum design, instructor delivery, and teacher training.
02 Key Features
Key Features
AI vision recognition
Color, line, and object recognition enable autonomous driving missions.
Mecanum-wheel driving
Omnidirectional motion and rotation enable diverse course designs.
Sensor control
Ultrasonic and line sensors support environment-aware, reactive control.
Block coding & Python
Tiered coding tools scale from beginner to advanced.
App control & expansion
A dedicated app and expansion modules let you tune mission difficulty.
Project-based classes
Ideal for themed projects like smart city, logistics, and environmental exploration.
03 Education Points
Education Points
01
Student-led hands-on lessons
Students control the robot themselves to internalize concepts.
02
Sensor-data problem solving
Learners analyze sensor data to complete missions.
03
AI recognition drives robot actions
AI vision and voice recognition results are mapped to robot behavior.
04
Team projects and presentations
Teams complete missions and share their results.
05
Career and advanced exploration
Extends into engineering / AI career exploration and deeper projects.
06
Camp and expo booth use
Suitable for rotating booths and camp missions.
04 Class Structure
Class Structure
| Step | Class name | Core concept | Activity | Est. hours |
|---|---|---|---|---|
| Step 1 | Understand robot structure | Hardware and operating principles | Review parts and follow assembly guide | 1 session |
| Step 2 | Basic control practice | Movement and motion control | Code and run basic motions | 1–2 sessions |
| Step 3 | Sensor / AI experience | Sensor data and AI recognition | Practice with sensors and AI modules | 2–4 sessions |
| Step 4 | Mission challenge | Problem-solving thinking | Take on tiered missions | 2–4 sessions |
| Step 5 | Team project and demo | Convergent, creative thinking | Plan and present a team project | 2–4 sessions |
05 Available Formats
Available Formats
06 Specifications
Specifications
| Product Name | AI Mech |
|---|---|
| Dimensions | 21.4 × 16.9 × 10 cm |
| Core | ESP32 |
| Charging Voltage | 5V |
| Charging Current | 1500 mA |
| Charging Time | ~1.5 hours |
| Runtime | ~2.0 hours |
| Battery | 3000 mAh / 11.1 Wh |
| Max Operating Voltage | 4.2 V |
| Rated Voltage | 3.7 V |
| Programming | Block coding / Python |
| Recommended For | Upper elementary – High school |
| Recommended Sessions | 4–16 sessions |
07 What's Included
What's Included
Base kit
Updating soon- Robot body
- Dedicated controller / board
- Sensor and cable modules
- Charger and power cable
- Storage case
- Class manual
09 FAQ
FAQ
We tailor the robot lineup and curriculum to your institution's goals.
Some product information and images are adapted from Hiwonder's official materials for educational use.