Robotics Team Design Project M ENG5325
- Academic Session: 2026-27
- School: School of Engineering
- Credits: 20
- Level: Level 5 (SCQF level 11)
- Typically Offered: Runs Throughout Semesters 1 and 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
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.
Timetable
Weekly meetings with supervisor. Weekly meetings as a team without supervisor.
Requirements of Entry
Mandatory Entry Requirements
None
Recommended Entry Requirements
None
Excluded Courses
None
Co-requisites
None
Assessment
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.
Course Aims
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.
Intended Learning Outcomes of Course
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.