Skip to Content
Report an accessibility problem
Engineering  |  Master's Degree in Robotics and Autonomous Systems

Academics

Concentrations

All concentrations prepare engineers for doctoral study or industrial positions that specialize in research, project management and product innovation related to robotics and autonomous systems. Modern robotics and autonomous systems laboratory facilities are available to support research investigations.

Mechanical & Aerospace Engineering concentration

This concentration is offered by the School of Engineering of Matter, Transport and Energy at the Tempe campus. It is appropriate for students who wish to emphasize applications in mechanical or aerospace engineering and provides students with the necessary background and skills for a broad range of applications of robotics and autonomous systems. Students will get a solid theoretical and practical background in a variety of topics that include theory, design and implementation of control systems, kinematics and dynamics of rigid and non-rigid (flexible, soft) robotic systems, design and bio-inspiration in controller design and hardware, swarm robotics, as well as embedded systems programming. Most importantly, students in this concentration will be exposed to state-of-the-art and emerging theories and implementations related to human-robot interaction, robotics and automation in healthcare, manufacturing, automotive controls, as well as a plethora of everyday life applications of robotics and autonomous systems. 

  • Students are required to take 2 core courses (MAE 501, MAE 547)
  • 2 courses from the concentration (MAE 506 + 1),
  • and up to 6 electives, with at least two electives selected from outside the concentration.
  • Portfolio (non-thesis), supervised project, and thesis options are available.

Students applying to the Mechanical and Aerospace are expected to possess basic knowledge in key relevant areas, e.g. Kinematics; Dynamics; Programming in MATLAB; System Dynamics and Control; or similar topics. Indicative ASU courses include: MAE201, MAE202, MAE215, MAE318, MAE417.

Systems Engineering concentration

This concentration is offered by The Polytechnic School at the Polytechnic campus, in Mesa, AZ. It is appropriate for students who wish to emphasize applications in systems engineering. The systems concentration will prepare students to identify, model, analyze, interpret, optimize and manage the multidimensional interactions of the ever-increasing complexity of modern mechatronic and robotic problems. Subject areas include mechatronics, controls, foldable robotics, soft robotics, medical robotics, design, additive manufacturing, and industrial automation. 

  • Students are required to take 2 core courses (MAE 501, MAE 547)
  • 2 courses from the concentration (EGR 550 + 1),
  • and up to 6 electives, with at least two electives selected from outside the concentration.
  • Portfolio (non-thesis), applied project, and thesis options are available.

Students applying to the Systems Engineering concentration are expected to possess basic knowledge in key relevant areas, e.g. Feedback and Controls; Embedded Systems; Programming (preferably C or similar language, MATLAB-Simulink-toolboxes). Dynamics; or similar topics. Indicative ASU courses include: EGR 219, EGR 455, EGR 456, EGR 433, PHY 321.

Electrical Engineering concentration 

This concentration is offered by the School of Electrical, Computer and Energy Engineering at the Tempe campus. It is appropriate for students who wish to emphasize applications in electrical engineering. Students will get a solid theoretical and practical background in a variety of topics that include theory, design and implementation of control systems, signal processing, real-time and embedded systems, computer vision, and machine learning. Students in this concentration will be exposed to state-of-the-art and emerging theories and implementations related to sensing, data processing, adaptive control, automated mobility, autonomous systems, human-machine interaction, robotic applications in various domains including but not limited to public safety, manufacturing, healthcare, automotive, and assistive technologies. 

  • Students are required to take 2 core courses (MAE 501, MAE 547)
  • 2 courses from the concentration (EEE 582, EEE 588),
  • and up to 6 electives, with at least two electives selected from outside the concentration.
  • Comprehensive exam (non-thesis) and thesis options are available

Students applying to the Electrical Engineering concentration are expected to possess basic knowledge in key relevant areas, e.g. Signals and Systems; Feedback and Controls; Computer Architecture & Organization; Embedded Systems; Radom Signal Analysis; Programming (preferably C or similar language, MATLAB-Simulink-toolboxes); or similar topics. Indicative ASU courses include: EEE 203, EEE 230, EEE 350, CSE 220, EEE480, EEE481.

Artificial Intelligence concentration

This concentration is offered by the School of Computing, Informatics, and Decision Systems Engineering at the Tempe campus. It is appropriate for students who wish to emphasize applications in artificial intelligence/computer science. Students will get a solid theoretical and practical background in a variety of topics that facilitate the study of “intelligent agents”, that is any robotic system that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Thus, students in this concentration will be exposed to the frontiers of the general topics in AI, including statistical machine learning, computer vision, natural language processing, knowledge retrieval and reasoning, and formal methods of planning. When compared to the other concentrations, the AI concentration focuses more on the algorithmic aspects of robotics. 

  • Students are required to take 2 core courses (MAE 501, MAE 547)
  • 4 courses from the concentration (CSE 571 + 3),
  • and up to 4 electives, with at least two electives selected from outside the concentration.
  • Portfolio (non-thesis), and thesis options are available

Students applying to the Artificial Intelligence concentration are expected to possess basic knowledge in key relevant areas, e.g. Programming Languages; Discrete Mathematics; Data Structures and Algorithms; or similar topics. Indicative ASU courses include: CSE 220 or 240; MAT 243 or 300; CSE 310.

For information on all classes visit the course catalog

Graduate Student Handbook

For additional information please see the Graduate Program Handbook:

RAS Graduate Program Handbook