Robotics - ELE00103M

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. Mark Post
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2019-20
    • See module specification for other years: 2018-19

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20

Module aims

Subject content aims:

  • To introduce the basic concepts involved in measuring and controlling position and motion for both mobile and fixed-arm robotic systems.
  • To explore the challenges and solutions involved in using robots in both the manufacturing and service industries, and for field applications.
  • To examine the use of different forms of sensors and their use for the purposes of orientation control and navigation.
  • To develop knowledge and fluency in the use of mathematical descriptions of position, orientation, and forces involved in robot control, and to illustrate these concepts via MATLAB examples.

Graduate skills aims:

  • To develop critical skills in the selection, adaptation and application of appropriate numeric and algebraic techniques

Module learning outcomes

Subject content learning outcomes

After successful completion of this module, students will:

  • Understand the component parts and properties of a range of fixed arm robotic systems and mobile (land, water and aerial) robots, and of the challenges involved in using such systems in real-world application contexts
  • Understand the use of multiple sensor technologies and the use of the resultant data for purposes such as controlling movement, path planning, navigation and collision/damage avoidance
  • Have competence with the mathematical tools and coordinate systems required to represent position, orientation, pose and motion/forces for a range of types of robotic systems
  • Be able to use software tools for the analysis of robotic systems

Graduate skills learning outcomes

After successful completion of this module, students will:

  • Be able to express advanced technical concepts concisely and accurately and comment on their applications, limitations and implications
  • Be able to select, adapt and apply a range of mathematical techniques to solve advanced problems and explain the implications of the answer

Assessment

Task Length % of module mark
University - closed examination
Robotics
2 hours 100

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Robotics
2 hours 100

Module feedback

'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments. A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback. This can be found at https://www.york.ac.uk/students/studying/assessment-and-examination/guide-to-assessment/ The Department of Electronic Engineering aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. Students are provided with their examination results within 20 working days of the end of any given examination period. The Department will also endeavour to return all coursework feedback within 20 working days of the submission deadline. The Department would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The Department will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.

Indicative reading

Peter Corke - Robotics, Vision and Control (2011), Springer, ISBN: 978-3-642-20143-1



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.