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Robotic Engineering Courses and Classes Overview

Individuals interested in robotics can take courses from colleges or universities through various engineering degree programs, including those for mechanical and computer engineering. Students learn basic concepts and applications in various disciplines of robotic engineering and its related technology.

Essential Information

Students can take robotic engineering courses within an Associate or Bachelor of Science in Robotics Engineering Technology or a bachelor's degree in mechanical engineering, to name a couple of options. Coursework in math, electrical circuits and programming are integral to most programs; other courses vary by educational award.

Below is a list of concepts that robotic engineering courses often contain:

  • Sensor performance
  • Power transmission
  • Pneumatic actuators
  • Machine learning
  • Payload manipulation
  • Landmark updates

List of Robotic Engineering Courses

Robotics Course

A first course in robotics starts from the ground floor when exploring the applications and methods of robotic engineering technology. The course discusses motors, microprocessors, mechanics, artificial intelligence and sensors. It teaches the theory of electrical, pneumatic and hydraulic control systems as well as real-time programming and the concepts of work envelope. The class also discusses the various use of robotics in different fields, such as aerospace, medical, automotive and manufacturing industries.

Mechatronics Course

Attendees learn about microprocessor systems combined with electronics, real-time programming and mechanical components. An introductory course allows students to design and analyze microprocessor functions and study various sensor applications. They also learn about optical encoders, wireless communications and speech synthesis in robots.

Artificial Intelligence Course

Artificial intelligence (AI) refers to the autonomy of machines. A course on AI prepares students to work with the main principles of artificial intelligence as well as its various applications. Instructors explain inference methods, methods of representing knowledge, fuzzy expert systems and artificial neural networks. Bayesian analysis, probability theory, genetic programming and evolutionary computation are some of the other topics discussed in the course.

Industrial Robotics Course

This course examines robotic programming, robotic programming languages and robotic teaching modes for use in manufacturing industries. Lessons cover the positioning and motion functions of robots and test unique robot designs and techniques. The class also discusses motion accuracy, sensors, robot classification, robot kinematics, robot control, automation, motion generation, transmission and end effectors.

Computer-Aided Drafting and Design (CADD) Course

Students gain a foundation in drafting and design principles. They learn about modern technical design, freehand sketching, engineer terminology and CADD modeling applications. Course topics include size and shape descriptions, geometric construction, auxiliary views, reproduction processes, projection methods and sections.


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