Collaborative Robotics and Smart Mechatronic Systems

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Course provided by Model Institute of Engineering & Technology

8 modules

Explore the fundamentals of Cyber Physical Systems

5 Level NCrF 

National Credit Framework

60 Hours 

Flexible Learning

Beginner Level 

No prior experience required

Certificate Program

02 Credits

Course Overview

This course equips learners with the skills to design, model, and simulate robotic manipulators and end effectors. Students gain hands-on experience in integrating sensors, actuators, and embedded controllers with robotic systems, while exploring electrical and hydraulic drive mechanisms for precise control. The program emphasizes practical training through Mitsubishi robotic kits and open-source platforms, supported by MATLAB-Simulink for system simulation and diagnostics. By the end of the course, learners are prepared to build and program intelligent robotic systems for industrial and research applications.

Key Learning Highlights

  • Design and simulate robotic manipulators, grippers, and end effectors.
  • Integrate sensors, actuators, and embedded controllers with robotic systems.
  • Explore electrical and hydraulic drive systems for robotic control.
  • Program robotic arms using Mitsubishi kits and open-source platforms.
  • Apply MATLAB-Simulink for control system modeling, simulation, and diagnostics.

Tools & Platform Used

Learning Outcome

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

  • Design and simulate robotic manipulators and end effectors.

  • Integrate robotic systems with sensors, actuators, and embedded controllers.

  • Implement electrical and hydraulic drive systems for robotic motion control.

  • Program robotic arms using Mitsubishi kits and open-source tools.

  • Use MATLAB-Simulink for robotic control system simulation and diagnostics.

Master the course with just 8 Modules

The course begins with an introduction to industrial robotics, tracing its evolution and exploring robot types, including collaborative systems. Learners study mechatronic design principles that integrate mechanical, electrical, and fluid subsystems, followed by the design and kinematics of robotic manipulators and end effectors. The program emphasizes sensor and transducer integration for feedback, electro-hydraulic drive systems for motion control, and machine vision for object detection and recognition. It further explores the role of IIoT in robotics for real-time monitoring and communication, while MATLAB-Simulink is used for control system modeling, simulation, and troubleshooting.

Introduction to Industrial Robotics

  • Trace the history and evolution of industrial robotics.

  • Understand collaborative robots (cobots) and safe human–machine interaction.

  • Explore different robot types (articulated, SCARA, delta, Cartesian) and their applications.

  • Study integration of mechanical, electrical, and fluid power subsystems.

  • Learn component selection for efficient robotic design.

  • Apply coordination principles for optimal mechatronic performance.

  • Understand actuation methods and degrees of freedom (DOF).

  • Apply kinematic principles to analyze robot motion.

  • Design manipulators and end-effectors for industrial tasks.

  • Integrate IR, pressure, force, and vision sensors in robotics.
  • Use sensors for accurate perception and feedback control.
  • Enable advanced robotic functions through sensor fusion.

  • Explore the role of hydraulic cylinders and valves in motion control.

  • Understand electro-hydraulic controllers for robotic precision.

  • Apply drive systems for smooth and accurate robot movements.

  • Learn camera-based vision systems for robotics.
  • Apply feature extraction for object detection and recognition.
  • Integrate machine vision into automation workflows.

  • Understand IIoT applications in robotic systems.

  • Explore real-time monitoring using gateways and protocols.

  • Enable connectivity for smart, data-driven robotics.

  • Use MATLAB-Simulink to model and simulate control systems.

  • Apply simulation tools for diagnosing robotic performance.

  • Optimize robotic control strategies through troubleshooting.

Roles

  • Robotics Engineer
  • Automation Engineer
  • Mechatronics Engineer
  • Robotic Systems Designer
  • Machine Vision Engineer
  • IIoT & Smart Factory Specialist
  • Control Systems Engineer
  • Research Associate in Robotics

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