Motion Kit

The Acrome Motion Kit is an advanced yet user-friendly educational platform designed for students, educators, and researchers who want to explore motion control, robotics, and automation. This modular system provides hands-on learning in motor control, sensor integration, and real-world industrial applications.

With its plug-and-play architecture, visual programming support, and multiple control options, the Motion Kit offers a powerful and flexible environment for learning, experimentation, and prototyping.

Who Is It For?

The Motion Kit is designed to serve a broad spectrum of users ranging from beginners to advanced developers in robotics and control systems. Whether you're in an educational setting or working on a research project, the kit is tailored to provide maximum flexibility and learning depth.

Students

Perfect for undergraduate and graduate students studying:

• Robotics

• Mechatronics

• Electrical/Electronics Engineering

• Mechanical Engineering

• Computer Science

It enables hands-on experience in topics like motion control, sensor integration, and embedded system programming.

Educators

Ideal for instructors and lab coordinators who want to:

• Demonstrate real-time control systems in action

• Deliver engaging laboratory sessions

• Run robotics workshops with ready-to-use hardware and software

Researchers

Suitable for academic and industrial researchers looking to:

• Prototype motion control systems

• Test control algorithms like PID, MPC, or fuzzy logic

• Validate robotics concepts in physical environments

Makers & Developers

Great for hobbyists and engineers who want to:

• Build custom robots

• Integrate with Raspberry Pi, AI models, or remote control apps

• Explore Python-based hardware development

Key Features

• Sensor Integration – Includes distance, light, and potentiometer sensors.

• Multi-Platform Support – Works with Python GUI, Blockly UI, Flutter mobile app.

• Hands-on Learning – Designed for educational labs, research projects, and industry training.

• Wireless & USB Control – Can be controlled via a PC, tablet, or mobile device.

• Open-Source & Customizable – Supports advanced Python scripting and API integrations.

Software & Control Options

The Motion Kit can be programmed and controlled using various methods:

1. Blockly UI (Visual Programming)

• Beginner-friendly drag-and-drop interface.

• Ideal for quick robotics and motion control projects.

• No coding skills required.

2. Python GUI (Desktop Application)

• PyQt5-based desktop app for real-time control.

• Offers a structured and interactive user interface.

• Suitable for both beginners and advanced users.

3. Python CLI (Command-Line Control)

• Provides direct API access for automation.

• Best for developers and researchers working with scripts.

4. Flutter Mobile App (Wireless Control)

• Control via smartphone or tablet.

• Supports Bluetooth and Wi-Fi connectivity.

• Great for remote operation and IoT integration.

Learning & Experimentation Topics

With the Motion Kit, you can experiment with real-world applications in:

• DC Motor Speed & Position Control​ACROME SMD

• Linear Actuation with Feedback

• PID Control & Motion Optimization​

• Sensor-Based Obstacle Avoidance​

• Manual vs. Automated Control Methods​

• Wireless Motor Control using Mobile Devices​

• Servo Positioning & Object Tracking

What Can You Build?

With the Motion Kit, you can build a wide variety of real-world robotics applications and academic projects. Thanks to its modular architecture and open-source software support, the possibilities are extensive. Some examples include:

• Smart Differential Drive Robot Build an indoor mobile robot capable of navigation, remote control, or autonomous path-following.

• AI-Controlled Chatbot Robot Integrate with AI models to control the robot via voice or text commands using Python and natural language processing.

• Autonomous Obstacle Avoidance Vehicle Use ultrasonic sensing and PID-controlled motors to avoid obstacles in real-time.

• Teleoperated Robot via Web or Mobile App Control the robot wirelessly using a browser, Flutter app, or SSH terminal over local or remote network.

• Control Engineering Lab Experiments Implement classical and modern control algorithms such as PID tuning, Cohen-Coon method, or system identification.

• Pan-Tilt Tracking System Mount a camera or sensor on the pan-tilt system to track faces, objects, or gestures using AI or OpenCV.

• Raspberry Pi Autonomous Robot Integrate a Raspberry Pi with ROS or Python scripts to create a fully autonomous robot platform with extended functionality.

Example Project: Waypoint Tracker Robot

The Waypoint Tracker Robot is a practical example of what can be built with the Motion Kit. It autonomously moves between predefined waypoints using real-time sensor data and motion planning algorithms.​

Project Highlights:

• Autonomous Navigation: Follows a sequence of waypoints efficiently.​

• Sensor-Guided Control: Uses IMU, encoders, and optional LiDAR for precise tracking.​

• Path Optimization: Implements motion control algorithms for smooth operation

• Python Integration: Compatible with advanced robotic frameworks.​

For detailed assembly instructions and further information, please refer to the official documentation