Robotics - ELE00103M

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. Shuhei Miyashita
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2018-19

Related modules

Co-requisite modules

  • None

Prohibited combinations

  • None

Module will run

Occurrence Teaching cycle
A Autumn Term 2018-19

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 on the examination performance will be provided within six weeks. Formative feedback is provided in workshops.

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.