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EE50236: Robotic platform engineering

[Page last updated: 04 August 2021]

Academic Year: 2021/2
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Semester 1
Assessment Summary: CW 50%, PR 50%
Assessment Detail:
  • In Class Practical Assessment (PR 50%)
  • Technical Report (CW 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Description: Aims:
To introduce students to the key elements of robotics platform design.
To introduce key concepts in understanding, designing and critically appraising robotics systems.
To provide key skills in implementing robotic hardware systems.

Learning Outcomes:
After successfully completing this unit the student will be able to:
* Design, critically appraise and validate robotic systems hardware and platforms (EP4, ET1, ET6, DF1, DF2)
* Compare, contrast and evaluate practical robotic platform design techniques and technologies (EP1,EP2, ET5, SM1)
* Use a range of established and new techniques to design robotic platforms (EP3, DF3, EA1, EA2, SM2, SM3)

Numeracy: Design robotic systems (T,F,A)
Using IT effectively: Simulators and design tools (T,F,A)
Research and Analysis: evaluating designs critically (T,F,A)
Communication: report writing (T,F,A)
Independent Working (T, F, A)
Problem Solving (T, F, A)

Land based Robotic Platforms such as tracks and wheels,
Marine based robotic platforms
Unmanned Aerial Vehicles (UAVs) s such as multi-rotor and fixed wing platforms
Autopilot hardware with positioning sensors to provide basic control of robotics hardware.

Programme availability:

EE50236 is Compulsory on the following programmes:

Department of Electronic & Electrical Engineering

EE50236 is Optional on the following programmes:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence


  • This unit catalogue is applicable for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this unit will be available in future years in the format displayed here for 2021/22.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.