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Robotics and Digitalization in Manufacturing

L&T EduTech via SWAYAM Plus

Overview

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The primary goal of this course is to teach students about the nuances of industrial automation and how it can be applied through digitalization. This course is distinguished by its comprehensive coverage of various robotic configurations for industrial applications, robot design specifications, application-oriented robot programming, and robotic vision systems. It improves the learners' ability to design and build Robots for specific applications.

Digitalization is unavoidable in today's world. Industry 4.0 is critical for integrating manufacturing and business as a whole in order to reduce complexity and decision making. From digital twins to robotic process automation, this course gives insight into the concepts of smart factories and digital transformation. The applications of Product Life Management, ERP, Value Chain Management, and IIoT in industries are thoroughly discussed.

Intended audience

Sensor Specialist, Automation Engineer, Robotics Engineer, Digital Manufacturing Specialist, Smart Factory Engineer

Prerequisites

  • Basic knowledge on Industrial Manufacturing, Mechatronics and Robotics

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online
  • Assessment type: MCQ
  • Assessment provider: L&T EduTech
  • Certificate provider: Sensor Specialist, Automation Engineer, Robotics Engineer, Digital Manufacturing Specialist, Smart Factory Engineer

NCrF level: 4.5 (NCrF credit-eligible)

Syllabus

  • Week 1: Sensor & Transducers in Machine tools & robots
  • Week 2: Electrical, Hydraulic & Pneumatic actuators
  • Week 3: Servo systems
  • Week 4: Robot Programming
  • Week 5: Robot Vision systems
  • Week 6: Interfacing
  • Week 7: Simulation using MATLAB
  • Week 8: Digital Transformations
  • Week 9: Cyber Physical Systems
  • Week 10: Digital Twins & Digital Thread
  • Week 11: Robotic Process Automation
  • Week 12: Industry 4.0
  • Week 13: Smart Factory
  • Week 14: Additive Manufacturing
  • Week 15: IIoT Industrial Applications

Taught by

$3b

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