Smart Manufacturing: Integration of Robotics/Automation

Aug 3, 2026 - Aug 21, 2026
Instructor: Yi Wang

Spots remaining: 15

Course Overview:

Smart Manufacturing: Integration of Robotics and Automation introduces participants to industrial robotics, collaborative robots (Cobots), and autonomous mobile robots within modern smart factory environments. The module covers robotic applications, programming robotic arms using CAD/CAM software Fusion 360, and integrated autonomous systems such as the MiR250 with Universal Robots. Emphasis is placed on coordinated operation, system integration, and deploying robotic solutions for advanced autonomous manufacturing tasks.

This course is part of the Smart Manufacturing micro-credential series. Participants may complete this course as a stand-alone certificate of completion or take all four micro-credentials to earn the Industry 4.0 Certificate in Smart Manufacturing.

A discounted rate is available when enrolling in the full four-course bundle.

Course Format:

This course includes three hours of online coursework completed at the day and time that fits your schedule, followed by an eight-hour, in-person, hands-on learning day in the Industry 4.0 Lab at Mizzou Engineering.

The online coursework will be available starting August 3rd and must be completed prior to the in-person learning day.

The in-person learning day in the Industry 4.0 lab will be on August 18th from 8:00 a.m. - 4:30 p.m.

Learning Outcomes:

• Overview of industrial robotics and common automation applications

• Instruction in programming robotic arms manually and using Fusion 360

• Introduction to Universal Robots and their integration capabilities for complex tasks

• Hands on exploration of the MiR250 autonomous mobile robot

• Practical exercises in designing and deploying integrated robotic automation workflows with

integrated autonomous mobile robots and Cobots

Topics:

• Understanding of industrial and collaborative robot roles in smart manufacturing

• Skills in programming robotic arms for complex automation tasks using Fusion 360

• Experience integrating Cobots with autonomous mobile robots

• Ability to design and deploy coordinated robotic systems in a smart factory environment

• Practical insight into automation strategies that enhance flexibility, efficiency, and system

responsiveness

Instructor(s):

Yi Wang

Assistant Professor

Department of Industrial and Systems Engineering

University of Missouri

Materials:

All course materials are included with enrollment.

Department:

MU College of Engineering Industrial and Systems Engineering Department

Credit:

Participants who complete this course are eligible for 1.2 Continuing Education Units (CEUs) and/or 12 Professional Development Hours (PDHs), which may be applied toward continuing education requirements for licensed engineers.

Audience:

This training is designed for technicians, engineers, operators, and professionals who want to build foundational skills in smart manufacturing and IIoT technologies.

It is ideal for individuals working in manufacturing, automation, maintenance, quality, or industrial technology roles who need to understand how smart sensors, actuators, and data-collection systems enable modern, connected production environments. The course is also well-suited for learners looking to upskill or transition into Industry 4.0-aligned positions that require competency in sensor integration, data acquisition, and automated system design.

Accommodations

University of Missouri Extension complies with the Americans with Disabilities Act of 1990. If you have a disability and need accommodations in connection with participation in an educational program or you need materials in an alternate format, please notify your instructor as soon as possible so that necessary arrangements can be made. Language access services, such as interpretation or translation of vital information, will be provided free of charge to limited English proficient individuals upon request. All requests must be made a minimum of 14 days before course start date. MU Extension will attempt to implement late requests but cannot guarantee they will be met.

Cancellations and Refund Requests

Access MU Extension’s Course Cancellation and Refund Policy for details.

Full course description