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Learning Objectives

At the end of this simulation, you will be able to:

Understand the core principles of mechatronics and robotics, including the synergy between mechanical, electrical, and computer systems.
Gain hands-on experience in designing and programming robotic systems with actuators, sensors, and controllers.
Learn how to develop automation solutions for manufacturing processes using mechatronic and robotic principles.
Apply motion control and precision techniques to optimize robotic performance and task execution.
Receive feedback on robot efficiency, precision, and task performance to enhance system design and functionality.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages →

Yield Optimization and Defect Reduction

Explore yield optimization and defect reduction through interactive XR simulations. Analyze manufacturing data, address common defects like contamination and etching errors, and implement strategies to improve process efficiency, product yield, and defect minimization.

Circuit Design and Troubleshooting

Explore the design and troubleshooting of electrical circuits by simulating various scenarios, including short circuits, overloads, and wiring faults. Students will create, test, and simulate different electrical circuits, such as parallel, series, and combination circuits. Using virtual multimeters and other testing tools, students will diagnose and resolve common circuit faults while receiving real-time feedback on their designs and troubleshooting methods.

CNC Machine Programming and Operation

CNC Machine Programming and Operation trains students on Computer Numerical Control (CNC) machines, essential in modern manufacturing for automated machining. Students will virtually program CNC machines to cut, mill, or shape materials according to specific designs, and simulate the generation and execution of G-code. The course includes 3D visualization of machining paths, with real-time feedback on tool wear, precision, and cycle times to optimize machining processes.

Interventional Radiology Procedures

Immerse students in the advanced field of interventional radiology through XR-enabled simulations. This training focuses on mastering minimally invasive, image-guided techniques used for diagnostics and therapeutic interventions.

Chiller System Installation and Maintenance

The Chiller System Installation and Maintenance Simulation trains students on the installation, maintenance, and troubleshooting of chiller systems used in commercial buildings for large-scale cooling applications. Students will practice virtually installing air-cooled and water-cooled chiller systems, connecting them to cooling towers and air handlers. Maintenance tasks include cleaning chiller tubes, monitoring refrigerant levels, and inspecting compressors. Troubleshooting scenarios will focus on issues like reduced cooling capacity, refrigerant leaks, and mechanical failures. Real-time feedback will be provided on system performance, energy consumption, and efficiency optimization.

Control Systems and Automation

Explore the fundamentals of control systems and their application in automation through immersive XR simulations.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.