Arduino MATLAB Projects - Expert Guide & Solutions

Learn to control light-emitting diodes using infrared sensors and remote controls with Arduino microcontroller. When a remote button is pressed, an infrared signal transmits to the IR sensor as code. The sensor receives the signal and transmits it to Arduino for LED control.

The Arduino Uno is a microcontroller board based on ATmega328. Comprehensive guide covering Arduino Uno architecture, pin configuration, specifications, and real-world applications. This board includes 14 digital I/O pins, 6 analog inputs, 16 MHz ceramic resonator, USB connection, reset button, and ICSP header.

Applications of Arduino Uno include:

• DIY Projects - Do-it-Yourself prototyping and experimentation
• Code-based Control - Developing projects with programmable control
• Automation Systems - Building automated solutions
• Circuit Design - Designing and testing basic electronic circuits

Color measurements have traditionally required expensive equipment. This project presents an affordable alternative using TCS3414CS color sensor (I2C Sensor Color Grove) integrated with Arduino hardware. Learn to build a low-cost color measurement system with MATLAB integration for analyzing and processing color data.

The system includes specific software developed in MATLAB with comprehensive study of color space transformations, chromatic channel linearity, and measurement accuracy. All Arduino and MATLAB scripts are included. Results demonstrate acceptable accuracy values, providing excellent educational value.

Develop proximity operations for multiple spacecraft using low-cost depth sensors. This advanced project demonstrates how COTS (Commercial-Off-The-Shelf) LIDAR sensors can be adapted for satellite rendezvous and docking operations. Learn about real-time range and pose measurement between spacecraft and targets.

The project details the selection of low-cost LIDAR (Softkinetic DS325), Linux ARM driver development, and Raspberry Pi integration for depth data processing. Test hardware is developed using simulator satellites on air bearings to simulate 2D frictionless environments, perfect for CubeSat-sized satellite applications.

Discover how to build an AI-enabled assistive robot for healthcare delivery. The mobile robot responds to spoken commands and uses Artificial Intelligence to extract health information from conversations and visual interactions, perfect for learning about healthcare automation and AI integration.

This system summarizes patient observations into reports that merge with Electronic Health Records (EHRs). Built using VEX Robotics parts and Arduino microcontroller, it implements obstacle avoidance and basic motions. Integration uses Java, Node-Red, and IBM Watson cloud services for intelligent healthcare delivery.

Design and implement a multi-transducer stethoscope apparatus with Arduino. This project involves designing a system that captures multiple body sounds simultaneously using five stethoscope diaphragms mounted on a rigid frame for precise spatial calibration.

The system converts acoustic signals through microphone pickups, samples and digitizes for analysis. With simultaneous 2 KHz sampling rate capability, it can capture internal body sounds below 200 Hz, especially heart sounds. Perfect for learning medical device development and signal processing with Arduino and MATLAB.

Create a flexible software architecture for controlling multi-robot systems seamlessly. This project demonstrates implementing on-board and off-board controllers with support for actuator, vehicle, and fleet-level behavior specifications.

The abstracted code design allows any type of robot - from differential drive setups to holonomic platforms and quadcopters - to be integrated by writing drivers for hardware interfaces and math packages. Motion specification supports way-points with time constraints, velocity/heading control, or throttle/angle inputs.

Build a real-time monitoring and early-warning platform for underground coal mine safety. This advanced IoT project combines cluster analysis for outlier detection, spatiotemporal statistical analysis, and RSS range-based weighted centroid localization algorithms for improving safety management.

The platform integrates IoT sensors, cloud computing, real-time operational database, and application gateways. Sensors monitor temperature, humidity, CH4, CO2, and CO with regression constants > 0.97 compared to commercial equivalents. The system enables real-time monitoring with >90% abnormal event identification and miner localization in harsh underground environments.

Overcome FPGA development challenges using MATLAB overlays. This advanced project demonstrates how Just-In-Time Assembly (JITA) enables hardware accelerators to be assembled at runtime within traditional software compilation flows.

Learn to raise the level of design abstraction and move synthesis out of the programmer's path. The project covers reconfigurable computing solutions for programmers seeking to implement FPGA applications without low-level hardware knowledge, using MATLAB's high-level design capabilities.

Master multi-objective optimization for electric vehicle powertrains using MATLAB. This project evaluates different EV topologies including single motor, dual motor, in-wheel motors, and four-wheel-drive configurations with comprehensive analysis.

Use multi-objective optimization techniques to find optimal component sizing while investigating trade-offs between energy consumption, powertrain cost, and acceleration performance. Includes comparative analysis of topology merits and real-world passenger car applicability, essential for modern automotive engineering.