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MPhil Robotics and Systems Engineering

University of Salford

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Course options

  • Qualification

    MPhil - Master of Philosophy

  • Location

    University of Salford

  • Study mode

    Full time

  • Start date

    MAY-21, SEP-21

  • Duration

    1 year

Course summary

INTRODUCTION

Automation for the Food Industry Research

The food industry is very labour intensive and as a result is under threat from low wage economies. To allow companies to remain competitive they need to embrace automation. Led by Dr Steve Davis you will learn how many of the challenges found in the food industry cannot be addressed by conventional automation and how advanced systems and grippers are required.

Cognition Robotics and Autonomous Systems

We use the term "cognitive robotics" to refer to robots with higher level cognitive functions that involve knowledge representation and reasoning.

Biologically Inspired Robotics Research

Future robots will move away from operating solely in factories and will interact more closely with humans. This will require a more natural/biological-like human-machine interaction. You will work with new design approaches and learn how they will shape future robotic systems. You will learn how traditional actuators have many shortcomings and how compliance can greatly improve the safety of human robot interaction, and also how these technologies have application in healthcare and rehabilitation applications.

End-effectors and robot hands

You will learn how innovative approaches can be used to grasp difficult to handle products. This course will also teach you how multi-fingered dexterous end-effectors, similar to the human hand, can handle a broad range of products, and how these technologies can be used in tele-presence tasks.

Swarm Intelligence and Multi-Agent Systems

This research theme, as led by Prof. S. Nefti Meziani and Dr T. Theodoridis, concerns the development of an Intelligent Collaborative Behaviour using Multi-Agent Systems/robots using novel swarm intelligent techniques. We have introduced the irrationality theory applied in path planning, obstacle avoidance and emergent behaviours, using the Khepera robots (K-Team) and the Webots simulator.

Uninhabited Autonomous Systems/Air Vehicles (UAS/UAV)

Prof. S. Nefti Meziani, Dr A. Jones, and Dr E. Chadwick lead the research into how uninhabited autonomous systems (UAS) cope with unscripted procedures when conducting a mission where commands are issued at high levels of abstraction. It is designed around human-centric needs with the ability to perform tasks in accordance with instructions which lack adequate 'terms of reference'. You will work in autonomous systems that involve humans-in-the-loop.

You will:

  • Research the fields of robotics, mechatronics, automation and control, embedded systems, artificial intelligence, and machine learning
  • Undertake research around an area from your own profession and develop solutions that can be implemented in the workplace
  • Earn a doctorate-level degree to take you further in your current career or provide a gateway into a research career

Tuition fees

Students living in United States
(international fees)

Information not available

Please check with the institution for most up to date details.

University information

University of Salford

  • University League Table

    92nd

  • Campus address

    University of Salford, The Crescent, Salford, Manchester, M5 4WT, England

Subject rankings

  • Subject ranking

    55th out of 110 3

  • Entry standards

    / Max 236
    132 55%

    50th

    13
  • Graduate prospects

    / Max 100
    75 75%

    70th

  • Student satisfaction

    / Max 5
    3.95 79%

    52nd

    10

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