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EE50236: Robotic platform engineering

[Page last updated: 15 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Department of Electronic & Electrical Engineering
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 50%, PR 50%
Further information on unit assessment Assessment Detail:
  • In Class Practical Assessment (PR 50%)
  • Technical Report (CW 50%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
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)

Skills:
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)

Content:
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.
Further information on programme availabilityProgramme 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

Notes: