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Master of Science in Robotics and Intelligent Autonomous Systems

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  • Objectives
    The Master of Science in Robotics and Intelligent Autonomous Systems (RIAS) is an interdisciplinary, research-oriented degree in an emerging technical area. Students in the program will be required to take courses in computer science, computer engineering, Electrical engineering and mechanical engineering. The primary objective of the RIAS program is to give students a basic understanding of the mechanical, electrical and computing systems required to participate in advanced mobile intelligent robotics applications.
  • Practical experience
    The program covers the essentials of robotics, artificial intelligence, control, communications, sensors and signal processing. Students have the opportunity to gain advanced knowledge in focus areas such as pattern recognition, computer vision, nonlinear control, digital signal processing, and communications.
  • Academic Title
    Master of Science in Robotics and Intelligent Autonomous Systems
  • Course description
    Graduates of this program should have a variety of career options in industrial applications, defense, homeland security, space exploration, or they can pursue study of a more advanced degree. The design and development of intelligent autonomous systems capable of interacting with the environment to complete complex tasks is a rare skill and the discipline is an emerging field.

    Research Areas and Resources
    Robotics and Intelligent Autonomous Systems offers a very extensive and diverse base of research areas. These areas include but are not limited to:
    • pattern recognition;
    • computer vision and perception;
    • navigation and localization;
    • embedded systems and digital design;
    • digital and nonlinear control;
    • digital signal processing and sensor fusion;
    • communications; manufacturing;
    • and advanced materials and micromachines.
    School of Mines has a variety of computing platforms, labs and manufacturing facilities available. Resources include PC/Linux labs, Robotics Labs, Embedded Systems lab, general purpose electronics test labs, Neural Networks and Controls Lab, Micromechanics lab, and the Center for Excellence for Advanced Manufacturing and Production (CAMP). The institution encourages its students to use the facilities in the creative and efficient solution of scientific and engineering problems.

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