The Mechatronics Engineering Laboratory is a multidisciplinary educational facility designed to support hands-on learning in control systems, automation, robotics, instrumentation, and intelligent systems. The laboratory integrates electronics, sensors, actuators, microcontrollers and microprocessors, supported by advanced hardware and software platforms for data acquisition, monitoring, and analysis.

Through structured laboratory exercises and open-ended projects, students develop the ability to design, implement, test, and optimize automated, and robotic, aligned with modern industrial and research practices.

Courses Using the Laboratory

• MECH 200: Introduction to Mechanical Engineering
• MECA 341L: Measurements and Instrumentation
• MECA 440L: Control Systems Design Laboratory
• MECA 443: Mechatronic System Design
• MECA 444L: Mechatronic Systems Programming
• MECA 445: Advanced Programming for AI & Robotics
• MECA 442: Microcontrollers for Mechatronics
• MECA 542: Industrial and Manufacturing Control

Major Equipment and Platforms

• NI ELVIS Acquisition and Measurement System
• NI myDAQ and NI myRIO Embedded Platforms
• Delta PLC Training Kits
• Siemens PLC Training Kits
• TurtleBot Mobile Robots with ROS
• Dobot Robotic Arms
• Servo, DC, and Stepper Motor Training Units
• Raspberry Pi Single-Board Computers
• NVIDIA Jetson Nano and Jetson Orin AI Platforms
• Oscilloscopes, Multimeters, and Variable Power Supplies

Laboratory Experiments and Student Projects

• Temperature Measurement and ON/OFF Feedback Control
• Water Level Control Using Sensors and Actuators
• Intelligent Lighting Control Based on Daylight Intensity
• Automated Garage Door Control System
• PLC-Based Industrial Control Using Ladder Logic (Timers, Counters, Interlocks)
• Industrial Automation Scenarios Using Siemens and Delta PLCs
• Electronic Circuits for Sensor Data Acquisition and Actuator Control
• Microcontroller-Based Systems Using Arduino and NodeMCU (ESP8266/ESP32)
• Communication and Data Exchange Between Sensors, PLCs, Controllers, and Human Machine Interface (HMI)
• Autonomous Vehicle Path Following and Parallel Parking
• Fire-Fighting Mobile Robot Design and Implementation
• ROS-Based Mobile Robot Navigation and Mapping
• AI-Enabled Robotics Applications Using NVIDIA Jetson Platforms
• Graphical User Interface Development Using LabVIEW (e.g., ATM Machine Simulation, Product Ordering Systems)