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Engineering  |  Master's Degree in Robotics and Autonomous Systems

Academics

Course list

Required Courses for all concentrations (6 Credit Hours)

  • MAE 501 Linear Algebra in Engineering (3)
  • MAE 547 Modeling and Control of Robots (3)

Courses in concentrations (6-12 Credit Hours)

Students are able to take courses listed below as elective courses. Additionally, courses on this list (RAS Approved Elective list, you must be logged into your MyASU account to access this list) have been reviewed by the Graduate Program Chair and have been approved as electives for the Robotics and Autonomous Systems programs. Be sure to check this page and the list often for updates.

Mechanical & Aerospace Engineering concentration

  • MAE 506 Advanced System Modeling, Dynamics, and Control (required)
  • MAE 508 Digital Control: Design and Implementation
  • MAE 598 Multi-Robot Systems
  • MAE 598 Bio-Inspired Robots
  • MAE 598 LMI Methods in Optimal and Robust Control

Systems Engineering concentration

  • EGR 550 Mechatronic Systems (required)
  • EGR 598 System Control and Optimization
  • EGR 598 Foldable Robots
  • EGR 598 Mechatronics Device Innovation
  • PSY 560 Advances in Theoretical Psychology

Electrical Engineering concentration 

  • EEE 582 Linear System Theory (required)
  • EEE 588 Design of Multivariable Control Systems (required)
  • EEE 598 Deep Learning for Media Processing and Understanding
  • EEE 508 Digital Image and Video Processing and Compression
  • EEE 586 Nonlinear Control Systems
  • EEE 591 Feedback Systems
  • EEE 591 Real-Time DSP Systems
  • EEE 591 Computer Controlled Systems
  • EEE 598 Introduction to Electric and Autonomous Vehicles

Artificial Intelligence concentration

  • CSE 571 Artificial Intelligence (required)
  • CSE 551 Foundations of Algorithms
  • IEE 598 Optimal Foraging Theory
  • CSE 522 Real-Time Embedded Systems
  • CSE 574 Planning and Learning Methods in AI
  • CSE 575 Statistical Machine Learning
  • CSE 576 Topics in Natural Language Processing
  • CSE 591 Advances in Robot Learning
  • CSE 591 Perception in Robotics
  • CSE 591 Human-Aware Robotics
  • CSE 591: Cyber-Physical Systems