The MSc in Intelligent Robotics will provide the opportunity to learn about the growing area of mobile and autonomous robotics, and intelligent systems. You will gain experience in an exciting wide range of topics, providing you hands-on experience. You will learn about the development of embedded control systems for robots, intelligent algorithms and their application to robotics, communications and systems programming, all with a focus on the practical implementation, both in hardware and simulation. The MSc culminates in a large group project focussed on collective robotic systems, ranging from ground-based units to flying robots. You will have the opportunity to work in a state of the art, dedicated, robotics laboratory for some of your modules and your final project, see the York Robotics Laboratory website for more details on the lab.
The MSc is intended for students who want to learn about robotic and autonomous systems for employment in related industries, or who are seeking a route into a PhD.
The broad aims of the course are to provide: -A thorough grounding in the use of scientific and engineering techniques as applied to intelligent robotic systems -A detailed knowledge of the development and deployment of intelligent robotic systems -A detailed knowledge of the latest developments in intelligent robotics and an ability to reflect critically on those developments -A detailed understanding of engineering collective robotic systems with emergent behaviours -Experience of undertaking a substantial group project, on a subject related to research in autonomous robotic systems
The aim of this substantial group project is to immerse the students in a life-like scenario of a group of engineers developing a large scale collective robotic system. The project will involve the design, construction and implementation of the control of a heterogeneous collective robotic system, providing students with practical experience of project management and team skills. The system will include both software (such as individual and collective robotic control, low-level programming) and hardware (such as hardware design or customisation) components. The project will culminate in the design and realisation of a collective robotic system that will undergo various test scenarios in the robotics laboratory.
The project preparation will begin towards the end of the Autumn term when groups will be develop a Quality Assurance manual, that will prepare the students to establish effective group policies, procedures and roles for group members, introducing the Quality Assurance processes applied to medium to large projects in industry. The group will be given a scenario and begin establishing requirements and develop outline designs.
In the Summer term, the project will get under way. Groups of 4-6 students will be formed, assigned a target system to design, and provided with a budget. In this term, the students will prepare a design document that will be followed for the remainder of the project. Detailed system specifications will be established and initial prototypes developed. You will make full use of the Robotics Laboratory and spend the vast majority of your time working on robotic systems and attempting to develop an innovative solution to the problem given. Full technical support is available in the laboratory.
A final presentation of each group is done in September where live demos of the system developed have to be provided. This is combined with a group presentation on the work undertaken and contributions made by each individual. Group documentation is submitted along with an individual report.
Applicants are normally expected to hold (or expected to gain) the equivalent of a 2:1 honours degree or above from a university recognised by the University of York. This degree should either by in computer science, computer science/mathematics joint honours, electronic engineering or related subject. We are willing to consider applications from students with lower qualifications, particularly when the student has high marks in relevant modules and/or appropriate industrial experience.
Recipient: University of York
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