Collaborative Robotics and Smart Mechatronic Systems

Course provided by Model Institute of Engineering & Technology

3 modules

Explore the fundamentals of Cyber Physical Systems

4.5 Level NCrF 

National Credit Framework

30 Hours 

Flexible Learning

Beginner Level 

No prior experience required

Nano Credit Course

01 Credit

Course Overview

This course introduces learners to the fundamentals of collaborative robotics and automation, with a focus on sensors, transducers, and servo systems. Students gain hands-on experience in integrating mechanical and electrical components within robotic and mechatronic systems. The curriculum covers the design of robotic manipulators and grippers, programming automation tasks using PLCs and digital control logic, and simulating real-world processes through MATLAB-Simulink. By the end of the course, learners are equipped with practical skills to design, implement, and analyze robotic automation systems for industrial applications.

Key Learning Highlights

  • Understanding collaborative robotics, sensors, transducers, and servo systems.
  • Integrating mechanical and electrical components in robotic and mechatronic systems.
  • Designing robotic manipulators and grippers for industrial applications.
  • Applying PLC programming and digital control logic for automation tasks.
  • Simulating robotic and mechatronic processes using MATLAB-Simulink.

Tools & Platform Used

Learning Outcome

By the end of this course, students will be able to:

  • Explain the fundamentals of collaborative robotics, sensors, transducers, and servo systems.

  • Analyze and implement mechanical-electrical interfacing in robotic and mechatronic systems.

  • Design robotic manipulators and grippers for industrial automation tasks.

  • Apply PLC programming and digital control logic to automation processes.

  • Simulate robotic and mechatronic systems using MATLAB-Simulink.

Master the course with just 3 Modules

The course begins with an introduction to sensors, transducers, and feedback systems, highlighting their role in robotic automation and the principles of signal conditioning. Learners then explore servo systems, PLCs, and digital interfacing, gaining practical insights into actuators, ladder logic, and integration with sensors. The final module focuses on robotics engineering and mechatronic system design, covering manipulator and gripper mechanisms, system integration, and industrial applications of collaborative robots.

Sensors, Transducers, and Feedback Systems
  • Understand the role of sensors in robotic and automation systems.

  • Explore different types of transducers such as position, force, proximity, and temperature.

  • Learn feedback principles and sensor signal conditioning for accurate control.

  • Study the working of servo motors, actuators, and their role in automation.

  • Learn PLC architecture, ladder logic, and control fundamentals.

  • Apply digital interfacing techniques to connect sensors and actuators with controllers.

  • Design and analyze robotic manipulators and gripper mechanisms.

  • Integrate mechanical, electrical, and control elements in mechatronic systems.

  • Examine case studies of collaborative robots and their industrial applications.

Roles

  • Robotics Engineer

  • Automation Engineer

  • Mechatronics Engineer

  • PLC/SCADA Programmer

  • Industrial Automation Specialist

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