Collaborative Robotics and Smart Mechatronic Systems
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 practical skills in industrial robotics, focusing on the design, simulation, and control of robotic manipulators and end effectors. Participants learn to integrate robotic systems with sensors, actuators, and embedded controllers, while applying electrical and hydraulic drive systems for precise motion control. The program includes hands-on programming of robotic arms using Mitsubishi kits and open-source platforms, complemented by MATLAB/Simulink for system simulation, control modeling, and diagnostics. Learners gain the expertise to implement, test, and optimize robotic systems in real-world industrial scenarios.
Key Learning Highlights
Design and simulate robotic manipulators and end effectors for industrial tasks.
Integrate sensors, actuators, and embedded controllers into robotic systems.
Apply electrical and hydraulic drive systems for precise robot motion and control.
Program robotic arms using Mitsubishi kits and open-source platforms.
Use MATLAB/Simulink for control system simulation, diagnostics, and optimization.
Tools & Platform Used
Learning Outcome
By the end of this course, learners will be able to:
Design and simulate robotic manipulators and end effectors for various industrial applications.
Integrate robotic systems with sensors, actuators, and embedded controllers.
Implement electrical and hydraulic drive systems for precise robotic motion.
Program robotic arms using Mitsubishi kits and open-source platforms.
Apply MATLAB/Simulink for simulation, control modeling, and system diagnostics.
Master the course with just 8 Modules
The course provides a comprehensive understanding of industrial robotics, starting with the history, collaborative systems, and types of robots. Learners explore mechatronic design principles, integrating mechanical, electrical, and fluid subsystems to build efficient robotic systems. The program covers manipulator and end-effector design, including actuation, degrees of freedom, and kinematics, followed by sensor and transducer integration for perception and feedback. Participants gain hands-on experience with electro-hydraulic drive systems, robotic and machine vision, and the application of IIoT for real-time monitoring. The course concludes with MATLAB-Simulink for control modeling, simulation, and troubleshooting, enabling learners to design, analyze, and optimize robotic systems for industrial applications.
Introduction to Industrial Robotics
- Learn the history and evolution of industrial robotics.
- Explore collaborative robotic systems (cobots) for safe human–robot interaction.
- Understand different types of robots and their industrial applications.
Mechatronic Design Principles
- Integrate mechanical, electrical, and fluid subsystems in robotic systems.
- Study design principles for efficient and reliable robots.
- Learn component selection and system coordination for optimal performance.
Robotic Manipulator & End-Effector Design
- Design manipulators and end-effectors with proper actuation methods.
- Understand degrees of freedom (DOF) and kinematic principles.
- Analyze and control robot movement for precise task execution.
Sensor & Transducer Integration
Integrate IR, pressure, force, and vision sensors for feedback control.
Learn sensor signal conditioning and calibration techniques.
Apply sensors for accurate perception in robotic systems.
Electro-Hydraulic Drive Systems
- Study cylinders, valves, and controllers for motion control.
- Understand hydraulic and electrical drive mechanisms.
- Implement precise robotic movements in industrial applications.
Robotic Vision and Machine Vision Systems
- Utilize cameras and feature extraction for object detection.
- Explore machine vision for quality inspection and guidance.
- Integrate vision systems with robotic controllers for automation tasks.
IIoT in Robotics
Apply IIoT for real-time monitoring and data acquisition.
Configure gateways and protocols for edge-to-cloud communication.
Use IIoT insights to optimize robotic system performance.
MATLAB-Simulink for Control Modeling and Troubleshooting
Simulate robotic control systems using MATLAB-Simulink.
Analyze and troubleshoot system performance.
Optimize control strategies for industrial robotic applications.
Roles
- Industrial Robotics Engineer
- Mechatronics Engineer
- Automation and Control Engineer
- Robotic Systems Integrator
- Machine Vision Specialist
- IIoT Robotics Specialist
- Robotics Simulation and Control Engineer
