This project gives students knowledge and experience of implementing design architecture and processes, project management and trade-offs, and team work required to design, programme and analyse a system architecture for operating and controlling a robot or robotic system.

Weekly meetings with supervisor. Weekly meetings as a team without supervisor.

None

None

50% of the assessment grade comes from the group final report (to be submitted at the end of the project), weighted by self-assessment contribution from each student within the team.

20% of the assessment grade comes from 2 group presentations (a pitch presentation at the midpoint design review and a final presentation at the end of the project), weighted by self-assessment contribution from each student within the team.

30% of the assessment comes from the continual performance of the team members, weighted by contribution of each student based on individual time sheets agreed at regular meetings and self-assessment of each team members' contributions.

It is the default expectation that all courses will offer opportunities for reassessment or deferred assessment. Where it is not possible to offer this in some assessment components, the grade achieved at the first attempt will be counted towards the final course grade, and any exceptions for this course are described below.

[No exceptions]

The aims of this course are to:

■ introduce students to the practical issues involved in a team design project;

■ enable students to implement their knowledge of Robotics and Artificial Intelligence within a complex Robotic System based team design project;

■ provide an introduction to the project management and team building skills needed for such a collaborative project.

By the end of this course students will be able to: 

■ develop suitable mathematical models and simulations of complex robotic systems for design purposes;

■ design autonomous control and behavioural algorithms to control the position, orientation and motion of a complex robotic system;

■ design intelligent behavioural response monitoring systems for a complex robotic platform;

■ design systems for autonomous control and behavioural operations;

■ analyse, evaluate and refine the control and behavioural algorithms;

■ engage in teamwork activities and evaluation the performance of their team collectively and as individuals;

■ develop a practical project/time plan from requirements capture to test & validation;

■ employ project management concepts including costing of the activities and time/resource management.