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
What’s Inside the Box?
Everything you need to start building right away:
2x SMD RED Smart Brushed Motor Driver with Speed, Position and Current Control Modes
2x 12V Brushed DC Motor with built-in encoder
2x Servo Module with 2x Servo Motor
1x IMU Module
1x Ultrasonic Distance Sensor Module
Learn by Doing
The Motion Kit is fully compatible with:
SMD Blockly – Drag-and-drop programming for absolute beginners
Python SDK – Code and customize projects with real-time feedback
Use official sample codes or create your own—from the very first minute, you’ll be in full control of your hardware.
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 ControlACROME 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
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
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