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EE50237: Robotics software

[Page last updated: 02 August 2022]

Academic Year: 2022/23
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)
Period:
Semester 1
Assessment Summary: CW 100%
Assessment Detail:
  • Technical Report (CW 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: After successfully completing this unit the student will be able to:
* Design, critically appraise and validate robotic systems software (EP3, DF2, SM1, SM3).
* Compare, contrast and evaluate practical robotic software design techniques and technologies (EP2, SM2).
* Use a range of established and new techniques to design robotic software (ET5, DF3, EA1, EA2).

Aims: To introduce students to the key elements of robotics software design.
To introduce key concepts in understanding, designing and critically appraising robotics software.
To provide key skills in implementing robotic software.

Skills: Using IT effectively: Compilers, simulators and robotic 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: Design of Robotic Software systems using a Robotic Operating System (ROS): Create a ROS Server, implementing ROS nodes, communication between ROS nodes, ROS data structures.
Understand how to implement autopilot software to provide basic control of robotics hardware: Autopilot software structure; modifying Autopilot Software; using Autopilot platforms
Implement Simulation of Robotics Systems using a ROS framework: Implementing Simulation environment, Creating environments, instantiating and customizing robots in simulation environment.

Programme availability:

EE50237 is Compulsory on the following programmes:

Department of Computer Science Department of Electronic & Electrical Engineering

EE50237 is Optional on the following programmes:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • RSCM-APM51 : 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:

  • This unit catalogue is applicable for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this unit will be available in future years in the format displayed here for 2022/23.
  • 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.