Motion Kit
Last updated
Last updated
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.
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.
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.
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
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
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
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.
The Motion Kit can be programmed and controlled using various methods:
Beginner-friendly drag-and-drop interface.
Ideal for quick robotics and motion control projects.
No coding skills required.
PyQt5-based desktop app for real-time control.
Offers a structured and interactive user interface.
Suitable for both beginners and advanced users.
Provides direct API access for automation.
Best for developers and researchers working with scripts.
Control via smartphone or tablet.
Supports Bluetooth and Wi-Fi connectivity.
Great for remote operation and IoT integration.
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
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.
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