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Sheffield Hallam University: Robotics

Institution Sheffield Hallam University
Department College of Social Sciences and Arts
Web http://www.shu.ac.uk
Telephone (+44) 0114 225 5533
Study type Research

Summary

Please note that the information provided relates to the current academic year and is subject to change without notice by Sheffield Hallam University. Please check the Sheffield Hallam University website for the latest information.

Course summary - Undertake extensive, supervised studies in the Centre for Automation and Robotics Research

  • Specialise in pertinent topics; including computational intelligence and human-robot interaction

  • Develop useful research and teaching skills to assist in your project and your subsequent career

  • Graduate with an advanced qualification in a diverse, ever-expanding and exciting topic

In this course, you'll undertake specialist research into a robotics field of your choice. You'll benefit from cutting-edge facilities in the Centre for Automation and Robotics Research (CARR), as well as from the advice and tutelage of leading experts. You'll graduate with excellent credentials in a particularly relevant subject.

How you learn All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.

As this is a research course, most of your work will be carried out independently. You will benefit from the support and expertise of your supervisory team; including a Director of Studies and a second supervisor who have specific interest in your chosen subject area. Common topics may include mechanics, electronics, sensing, computational intelligence, cognitive and developmental robotics and human-machine interaction technologies.

You learn through

  • Independent research

  • Mentoring with your supervisory team

  • Research training, including mandatory ethics and integrity sessions

  • Teacher training

  • Linux and ROS training

  • Optional extra training in Matlab, OpenGL, Indesign, Illustration and After Effects

Applied learning Networking opportunities

You will be part of the University's community of researchers, with the opportunity to attend and/or contribute to a range of discipline, college and University-wide presentations, training and conferences.

MPhil (Res)

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