Industrial Automation is the use of technology including specialized equipment, computer software, and robots to reduce human intervention in industrial processes to make them more cost effective, efficient, faster, and less prone to errors. Industrial automation is quickly becoming omnipresent in all industries. This course includes a Robotics Case Study to illustrate critical concepts to review, select, and plan the integration of a robot to successfully automate a portion of an industrial process. By participating in this course, you will learn how to successfully
Employ effective decision-making strategies to assess the suitability of specific tasks for automation with robotics
Assess potential robotics integrations in manufacturing
Employ good practices to address the effect of the introduction of robotics on a company's culture
Identify the risks and rewards of applying robotics to an industrial process
Identify ways in which robotics can be used to make a process safer
Who should attend?
Engineers across various fields (i.e., mechanical, electrical, computer, etc.) without formal training in robotics from previous academic programs
Individuals who are considering a career in industrial robotics automation
Working engineers in small to mid-size manufacturing companies looking to add robotic automation to their manufacturing process
Owners and managers of companies seeking a greater understanding of robotic integration into manufacturing processes
A Certificate of Completion will be issued to registrants who successfully complete this course Course participants are expected to have:
Access to computer equipment and a reliable internet connection
Software to display PDF files (such as Adobe Reader)
Fundamental engineering knowledge
A familiarity with engineering ethics, such as ASME’s Code of Ethics of Engineers or via the ASME self-study e-Learning course Ethics for Engineers: Doing the Right Thing When No One is Looking
Ideally, some experience working in the manufacturing industry, basic economic principles and an understanding of geometric dimensioning and tolerancing (GD&T)
Industrial Automation is the use of technology including specialized equipment, computer software, and robots to reduce human intervention in industrial processes to make them more cost effective, efficient, faster, and less prone to errors. Industrial automation is quickly becoming omnipresent in all industries.
This course includes a Robotics Case Study to illustrate critical concepts to review, select, and plan the integration of a robot to successfully automate a portion of an industrial process.
By participating in this course, you will learn how to successfully
- Employ effective decision-making strategies to assess the suitability of specific tasks for automation with robotics
- Assess potential robotics integrations in manufacturing
- Employ good practices to address the effect of the introduction of robotics on a company's culture
- Identify the risks and rewards of applying robotics to an industrial process
- Identify ways in which robotics can be used to make a process safer
Who should attend?
- Engineers across various fields (i.e., mechanical, electrical, computer, etc.) without formal training in robotics from previous academic programs
- Individuals who are considering a career in industrial robotics automation
- Working engineers in small to mid-size manufacturing companies looking to add robotic automation to their manufacturing process
- Owners and managers of companies seeking a greater understanding of robotic integration into manufacturing processes
A Certificate of Completion will be issued to registrants who successfully complete this course
Course participants are expected to have:
- Access to computer equipment and a reliable internet connection
- Software to display PDF files (such as Adobe Reader)
- Fundamental engineering knowledge
- A familiarity with engineering ethics, such as ASME’s Code of Ethics of Engineers or via the ASME self-study e-Learning course Ethics for Engineers: Doing the Right Thing When No One is Looking
- Ideally, some experience working in the manufacturing industry, basic economic principles and an understanding of geometric dimensioning and tolerancing (GD&T)
