Programme And Module Handbook
Course Details in 2024/25 Session

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Module Title LH Telerobotics, Telepresence and Augmented Reality
SchoolSchool of Engineering
Department Elec, Elec & Sys Engineering
Module Code 04 32802
Module Lead Prof Robert Stone
Level Honours Level
Credits 20
Semester Semester 2
Restrictions None
Contact Hours Lecture-25 hours
Demonstration-3 hours
Practical Classes and workshops-15 hours
Guided independent study-157 hours
Total: 200 hours
Description In this module students will learn how to specify, design and build novel human-system interfaces, based on VR, AR and MR (Mixed Reality) technologies for controlling remotely operated land, air and underwater vehicles (ROVs).

Students will learn about the history and principles of telerobotics, telepresence and the parallel domain of VR, AR and MR and how they are, and can be applied in engineering applications.

The selection of appropriate commercial off-the-shelf toolkits for designing VR/AR/MR interfaces for ROVs will be discussed, as well as factors affecting their integration with the vehicle to provide real-time control and data presentation to the human user.Methods for specifying the interfaces will be considered, as will techniques for evaluating the quality of system performance.

The students are expected to undertake the design, construction and testing of any prototypes for the project during the guided independent study time, so that they will be ready to present it and demonstrate it on the demonstration day
Learning Outcomes By the end of the module students should be able to:
  • Specify and design an augmented reality/mixed reality control system (data display and data input) for a remotely operated device, taking into account appropriate human-centred design standards and processes.
  • Select appropriate software tools to enable the design and development of the interface(s).
  • Design and construct an actual augmented AR/MR control system for a remotely operated device and demonstrate its performance.
Assessment 32802-05 : Module Mark : Mixed (100%)
Assessment Methods & Exceptions (70%) Three major assignments completed by week 4, 8, and 11.
and (30%) Final project report at the end of module (Canvas submission)
Reading List