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.

• Problem & Objective: Decode NEC infrared remote protocol signals via Arduino digital pins and process commands in MATLAB real-time GUI.
• Key MATLAB Functions: arduino, readDigitalPin, writeDigitalPin, configurePin
• Expected Output/Metrics: Signal decoding accuracy 100%, IR pulse width timing plots (38 kHz carrier), and LED response time < 50ms.

Comprehensive guide covering Arduino Uno ATmega328 architecture, digital/analog I/O pin interfacing, serial UART protocol, and MATLAB real-time data logging.

• Problem & Objective: Benchmark ADC sampling rates, digital PWM output frequency, and serial baud rate streaming between Arduino and MATLAB.
• Key MATLAB Functions: readVoltage, writePWMDutyCycle, serialport, flush
• Expected Output/Metrics: Real-time voltage sampling graph (0-5V), PWM duty cycle linearity > 99%, and serial transmission error < 0.01%.

Build an affordable color measurement system using TCS3414CS I2C color sensor integrated with Arduino hardware and MATLAB for RGB/Lab color space transformations.

• Problem & Objective: Measure surface colors using I2C light sensors and perform matrix transformation from raw RGB values to CIE Lab color space.
• Key MATLAB Functions: device, i2cwrite, i2cread, rgb2lab, colorcloud
• Expected Output/Metrics: Color matching Delta-E < 3.0, chromatic channel linearity curves, and real-time MATLAB color swatch display.

Proximity operations for spacecraft rendezvous using low-cost COTS LIDAR depth sensors, Linux ARM drivers, and Raspberry Pi/Arduino processing.

• Problem & Objective: Estimate 6-DOF target pose (range and orientation) between chaser satellite and target CubeSat on 2D air-bearing tables.
• Key MATLAB Functions: pcregistericp, estgeotform3d, pcshow, quaternion
• Expected Output/Metrics: Range measurement error < ±5 mm, pose orientation accuracy < 1°, and point cloud frame rate > 15 FPS.

AI-enabled mobile robot for hospital delivery responding to voice commands, performing ultrasonic obstacle avoidance, and transmitting observations to cloud EHRs.

• Problem & Objective: Path planning and indoor navigation using differential drive VEX/Arduino hardware while processing voice commands over ROS/MATLAB.
• Key MATLAB Functions: plannerAStar, controllerPurePursuit, rosmessage, speech2text
• Expected Output/Metrics: Path navigation success rate > 98%, obstacle collision avoidance distance > 30 cm, and patient log transmission < 2s.

Multi-transducer acoustic acquisition platform with 5 chest diaphragms digitized via Arduino 2 kHz ADC sampling for spatial body sound analysis.

• Problem & Objective: Capture low-frequency (< 200 Hz) heart sounds simultaneously across 5 channels without phase distortion.
• Key MATLAB Functions: designfilt, filtfilt, butter, spectrogram
• Expected Output/Metrics: Channel phase alignment error < 1 ms, signal SNR > 22 dB, and clean S1/S2 heart sound waveform plots.

Flexible software framework for multi-robot fleet coordination supporting differential drive, holonomic ground bots, and quadcopters using MATLAB and Arduino control.

• Problem & Objective: Implement a hierarchical controller delegating waypoint motion commands from fleet-level supervisor to local Arduino actuator nodes.
• Key MATLAB Functions: robotics.VectorFieldHistogram, navPath, sim, write
• Expected Output/Metrics: Inter-robot collision count = 0, formation tracking accuracy < 5 cm, and command latency < 20 ms.

Real-time gas monitoring (CH4, CO2, CO), temperature sensing, and RSS-based miner localization using Arduino wireless sensor nodes and MATLAB cloud analytics.

• Problem & Objective: Detect hazardous gas concentrations and estimate underground miner coordinates using weighted centroid RSS localization.
• Key MATLAB Functions: fitgmdist, knnsearch, smoothdata, thingSpeakRead
• Expected Output/Metrics: Gas detection R² > 0.97, miner localization accuracy < 2.5m, and alarm latency < 1 second.

High-level synthesis and Just-In-Time Assembly (JITA) of custom FPGA hardware coprocessors generated directly from high-level MATLAB algorithms.

• Problem & Objective: Accelerate compute-heavy matrix operations by auto-generating VHDL/Verilog IP cores targeting FPGA SoC platforms.
• Key MATLAB Functions: makehdl, makehdltable, generatehdl, fi
• Expected Output/Metrics: Speedup factor > 12x vs embedded CPU, DSP slice utilization < 70%, and zero timing violations at 150 MHz.

Multi-objective optimization evaluating single motor, dual motor, in-wheel, and 4WD electric vehicle powertrain topologies for efficiency and performance.

• Problem & Objective: Optimize battery pack sizing and motor gear ratios to balance energy consumption (kWh/100km) and 0–100 km/h acceleration time.
• Key MATLAB Functions: gamultiobj, paretofront, autoblksev, sim
• Expected Output/Metrics: Pareto optimal front trade-off curves, energy efficiency improvement (>14%), and 0-100 km/h sprint time < 5.8s.