Course Details
Applied Robotics
This robotic fundamentals course aims to provide you with basic knowledge of key robotic concepts and their role in industrial manufacturing. The course breakdown is as follows. First, the core robotic principles along with a brief history of the industrial revolution is presented. The topics covered will enable you to classify different types of robots and identify various robot based on their function. Second, we will provide you with fundamentals about the power and movement systems for basic robotic functioning within the manufacturing industry. Next, we will introduce you to different types of sensors, their working and applications. This will be followed by an explanation of computer systems used in robot controllers. Basic high-level programming concepts such as syntax and application logic gates will be presented. We also will elaborate on the importance of maintenance and a systematic approach to problem solving for robotic system applications. Finally, scenarios and possible applications for robots will be discussed to provide you with ideas of what to expect in your careers as robotic systems engineers.
Recommended Prerequisites
Basic Reading Comprehension, Basic Computer Skills, Basic Internet Browsing Skills
What You’ll Learn
Course Module Listing
Overview
Pre-Course Survey
Course Introduction
Module 1: Control Systems
Module Introduction
Lesson 1: Overview of Control Systems
Lesson 2: Number Systems
Lesson 3: Logic Gates
Lesson 4: Overview of Programming
Lesson 5: Computer Systems
Module Summary
Module Assessment
Module 2: Robot Maintenance and Troubleshooting
Module Introduction
Lesson 1: Overview: Maintenance vs. Troubleshooting
Lesson 2: Preventive Maintenance
Lesson 3: Troubleshooting
Module Summary
Module Assessment
Module 3: Case Study and Future of Robots
Module Introduction
Lesson 1: Case Study
Lesson 2: Future of Robotics
Module Summary
Module Assessment
Review
Exam
Post-Course Survey
This
material is based upon work supported by the National Science Foundation
under Grant No. DUE-1104181. Any opinions, findings, and conclusions or
recommendations expressed in this material are hose of the author(s) and
do not necessarily reflect the views of the National Science Foundation.