> For the complete documentation index, see [llms.txt](https://docs.acrome.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.acrome.net/smd-applications/robotics/differential-robot-projects.md).

# Differential Robot Projects

The **Differential Robot Project** is a hands-on application of the **Acrome Motion Kit**, designed to introduce students, researchers, and robotics enthusiasts to **differential drive systems, motion control, and autonomous navigation**.

With this kit, users can build and program a **differential-drive mobile robot**, enabling real-time **motion planning, obstacle avoidance, and sensor integration**. It serves as an ideal platform for **robotics education, AI research, and industrial automation prototyping**.

<figure><img src="/files/Z1lyhCRYIdwTMNjBSkZW" alt=""><figcaption></figcaption></figure>

## **What is a Differential Drive Robot?**

A **differential drive robot** is a type of wheeled robot that moves by controlling the speed of two independent motors. This movement mechanism allows for:

**Straight Motion** – Both wheels move at the same speed.\
**Turning** – One wheel moves faster than the other.\
**Rotation in Place** – The wheels rotate in opposite directions.

This simple yet powerful design is commonly used in **autonomous robots, self-driving vehicles, industrial AGVs (Automated Guided Vehicles), and AI-based navigation systems**.

## **Control & Programming Methods**

The **Differential Drive Robot** supports multiple control and programming methods, making it adaptable for users with different skill levels:

#### **1. Blockly UI (No-Code, Drag & Drop Programming)**

* Ideal for beginners and classroom learning.
* Allows users to **control motors, read sensor data, and implement logic** without coding.
* Example Blockly command: **Move Forward at 50% Speed**.

#### **2. Python API (Advanced Control)**

* Offers detailed control over **motor speed, sensor feedback, and real-time decision-making**.
* Supports **PID control** and adaptive movement strategies.
* Example Python script:

```python
set_motor_speed(left_motor=50, right_motor=50)  # Move forward
```

```python
distance = get_distance()
if distance < 15:
    stop_motors()  # Stop if an obstacle is detected
```

#### **3. Mobile App Control (Flutter-Based)**

* Enables **wireless remote control** through a smartphone or tablet.
* Uses **Bluetooth or Wi-Fi** for connectivity.

## **Real-World Applications of Differential Robots**

Differential drive robots are used in a variety of real-world applications, including:

**Autonomous Vehicles** – Found in **self-driving cars and delivery robots**.\
**Industrial Automation** – Used in **factories, warehouses, and AGVs**.\
**AI & Machine Learning** – Research in **reinforcement learning and path optimization**.\
**STEM Education & Competitions** – Helps students **develop robotics and programming skills**.

## Example Projects:

* [**Braitenberg Robot**](/smd-applications/robotics/braitenberg-robot.md)**:**\
  A reactive robot that simulates behavior based on sensory input, demonstrating simple bio-inspired logic.
* [**Line-Follower Robot**](/smd-applications/robotics/line-follower-robot.md)**:**\
  Uses infrared sensors to detect and follow lines autonomously, ideal for teaching basic PID control.
* [**Object Tracking Robot**](/ai/object-tracking-robot.md)**:**\
  Employs vision or distance sensors to follow or avoid dynamic targets.
* [**Teleoperation Robot**](/smd-applications/robotics/teleoperation-robot.md)**:**\
  Remotely controlled via mobile app or interface, perfect for exploring wireless control and safety limits.
* [**Obstacle Avoidance Robot**](/smd-applications/robotics/obstacle-avoidance-robot.md)**:**\
  Utilizes a pan-tilt ultrasonic sensor system to actively scan the environment and avoid obstacles in real time, offering a hands-on introduction to autonomous navigation and sensor fusion.