TPBot Edu Car Kit

Why It Works

Purpose-Built for STEAM Learning

Every design decision — from the rechargeable battery to the anti-dumb RJ11 port — reduces friction so students spend more time learning and less time troubleshooting.

⚙️

Encoded Motor

Provides precise speed and distance control — students program the car to travel exact distances and maintain consistent speeds, building a real understanding of closed-loop control systems.

🧭

Onboard Gyroscope

Enables accurate angle measurement and steering control. Students program precise turns, navigate grid maps, and explore how gyroscopes are used in real vehicles and drones.

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RJ11 Sensor Interface

Anti-dumb RJ11 connectors make sensor attachment intuitive and damage-proof — expanding the car with ultrasonic, line-patrol, and other sensors without tools or expertise.

🔋

Rechargeable Lithium Battery

Built-in 7.4V lithium battery charges via USB in just 70 minutes — no AA batteries to replace, reducing cost and environmental waste across a full school day of activity.

🚗

Standalone Entertainment Mode

Line patrol and obstacle avoidance modes work without the micro:bit inserted — perfect for instant demos, peer challenges, and engaging students before programming sessions begin.

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Child-Friendly Shell Design

Tailored dimensions (128 × 113 × 90 mm) with a robust, colorful enclosure make it durable and ergonomic for classroom environments from Grade 4 upward.

Key Hardware

What Powers the TPBot Edu

A tightly integrated hardware stack — from the encoded drivetrain to the expansion interface — gives students a complete autonomous vehicle platform to explore.

Drive System

Encoded Motor + Chassis

The encoded motor provides closed-loop feedback for precise distance and speed regulation — forming the foundation for all distance, steering, and path-following programming activities.

Motor TypeEncoded DC Motor

SteeringDifferential drive

Dimensions128 × 113 × 90 mm

Weight378.7 g (battery incl.)

Navigation

Onboard Gyroscope

An integrated gyroscope measures rotation angle in real-time — enabling students to program exact turns, navigate coordinate grids, and understand inertial navigation fundamentals used in real vehicles.

Type3-axis gyroscope (onboard)

Use CasePrecision steering control

ProgrammingMakeCode / Python

OutputDegree-accurate angle data

Power

Built-in Lithium Battery

A high-capacity rechargeable lithium battery powers the car reliably through extended classroom sessions, with USB charging for easy top-up between lessons.

Rated Voltage7.4V

Max Voltage8.4V

Charging5V / 2.8A USB

Charge Time~70 min at 2.1A

Expansion

RJ11 Sensor Interface

Anti-dumb RJ11 connectors allow students to add ultrasonic, line-patrol, and other sensors with ease — no risk of reverse connection, and no expertise required to expand the platform.

ConnectorRJ11 (anti-dumb)

IO Voltage3.49V

CompatibleUltrasonic, line patrol sensors

Controllermicro:bit (not included)

Curriculum Cases

12 Structured Learning Cases

Each case introduces a new concept, builds on previous skills, and culminates in a working program students run on their own car.

Driving Control

Introduction

Students explore how to control the TPBot Edu to drive forward through graphical programming. The lesson introduces programming as a method to instruct robots to perform tasks, focusing on block-based coding with the Tianpeng smart car.

Teaching Objectives

Understand the driving control mechanisms of TPBot Edu

Master fundamental programming skills for controlling TPBot Edu using micro:bit

Fixed Distance Cruise

Introduction

Students control the TPBot Edu's travel distance through graphical programming. The encoded motor enables precise distance control — students write programs for accurate distance management and speed regulation, then test their solutions practically.

Teaching Objectives

Understand fundamental encoder motor concepts

Use MakeCode software to create programs that regulate how far the car travels

Precision Steering

Introduction

Building on distance control, this lesson advances to directional management. Students explore how gyroscopes enable precise angle measurement and steering in smart vehicles, making the TPBot Edu turn flexibly in various environments.

Teaching Objectives

Understand the basic concepts of gyroscopes

Use MakeCode software to create programs to control the steering angle of the car

Line Patrol

Introduction

Students learn line patrol sensor principles and how they function. The curriculum focuses on programming TPBot Edu to autonomously travel along a predetermined line using MakeCode software.

Teaching Objectives

Understand how line patrol sensors operate

Comprehend the mechanisms that enable cars to follow lines

Create and implement MakeCode programs for line patrol functionality

Obstacle Avoidance

Introduction

Students learn obstacle avoidance principles and ultrasonic sensor functionality. They program the TPBot Edu to detect and navigate around barriers autonomously — mirroring a fundamental capability of real self-driving vehicles.

Teaching Objectives

Understand the working principle of ultrasonic sensors

Use MakeCode software to create programs to control the car's obstacle avoidance

Light Control

Introduction

Students learn the working principle of the car's headlights and how to program them. They write programs to control the RGB LEDs on TPBot Edu, learning how vehicles use lighting systems for signaling and safety.

Teaching Objectives

Understand the working principle of car headlights

Use MakeCode software to create programs to control the lights of the car

Walking in a Square

Introduction

Students review encoder motors and gyroscopes by programming the car to complete a preset square route on a 6-grid map (each grid 20 cm). They explore coordinate systems and develop programming logic for directional movement.

Teaching Objectives

Review and apply encoder motor and gyroscope knowledge

Use MakeCode to create a program to control the driving route of the car

Finding a Light Source

Introduction

Students combine micro:bit functions to program a smart car that automatically locates and drives toward a light source in a dark environment — exploring how micro:bit uses its LED matrix to detect ambient light intensity without a dedicated sensor.

Teaching Objectives

Combine micro:bit functions to achieve extended programming cases

Understand how micro:bit uses its LED matrix to detect ambient light levels

Program the car to adjust driving direction based on light intensity changes

Automatic Headlights

Introduction

Students develop an automatic headlight system using micro:bit capabilities. The car intelligently detects ambient light — turning lights off in well-lit areas and automatically activating them in darker environments like tunnels or nighttime driving.

Teaching Objectives

Combine micro:bit functions to achieve extended programming cases

Understand how vehicles use light sensors for intelligent lighting automation

Program conditional logic to respond to ambient light level changes

Sound Control

Introduction

Students build a voice-controlled car using micro:bit's sound detection. The lesson explores using sound to regulate vehicle speed — louder sounds increase speed, quieter sounds decrease it — making the car responsive to ambient volume changes.

Teaching Objectives

Combine micro:bit functions to achieve extended project outcomes

Learn how to detect ambient volume using sound sensors

Master programming techniques for controlling car speed based on sound level changes

Following a Car with Fixed Distance

Introduction

Students create a project that enables the vehicle to autonomously maintain a set distance from a car ahead. The lesson explores monitoring distance through sensors and adjusting vehicle speed accordingly — mirroring real adaptive cruise control technology.

Teaching Objectives

Understand the operating principles of fixed-distance vehicle following

Learn how to use sensors to monitor the distance of a vehicle ahead

Master techniques for adjusting car speed based on distance measurements

Anti-Theft Alarm

Introduction

Students develop an anti-theft car alarm system by utilizing micro:bit capabilities. The project employs the accelerometer's vibration detection to identify unauthorized movement or tampering with the vehicle — connecting programming to real-world security applications.

Teaching Objectives

Combine micro:bit functions to create a real-world security application

Understand how accelerometers detect vibration and movement

Program the car to trigger an alarm response on unauthorized movement

Real Autonomous Driving, In the Classroom

Purpose-Built for STEAM Learning

See It in Action

What Powers the TPBot Edu

What's in the Box

Full Specification Sheet

12 Structured Learning Cases

What Students Gain

Ready to Drive Learning Forward?

Dimensions	128 mm × 113 mm × 90 mm
Weight	378.7 g (with battery, without micro:bit)
Motor Type	Encoded DC Motor
Steering Type	Differential Drive
Navigation	Onboard 3-axis Gyroscope
Sensor Port	RJ11 Anti-dumb Interface
Controller	micro:bit (not included)

Battery Type	Rechargeable Lithium
Rated Voltage	7.4V
Max Voltage	8.4V
Min Voltage	6.5V
Charging Voltage	5V at 2.8A
Charge Time	~70 minutes at 2.1A
IO Supply Voltage	3.49V