- Department: Electronic Engineering
- Credit value: 60 credits
- Credit level: M
- Academic year of delivery: 2024-25
- See module specification for other years: 2023-24
- Notes: This is an independent study module
This module will challenge students to work in a group on a complex robotic problem and produce a design and implementation to be tested in the York Robotics Laboratory. Using a variety of robotic parts and technologies, you will work together to build on your previous work on the Intelligent Robotics MSc to create an innovative team of robotic systems.
Occurrence | Teaching period |
---|---|
A | Summer Semester 2024-25 |
Subject Content aims:
To develop technical skills in the development of control software for robots
To develop technical skills in the development of systems to integrate multiple robotic units
To understand a complex problem formulation and provide a suitable design and implementation
Graduate Skills aims:
To provide a context for the application of taught knowledge in an engineering setting
To demonstrate the appreciation of scientific and engineering methods and techniques
To demonstrate effective group working skills
Subject content learning outcomes:
After successful completion of this module, students will be able to::
Graduate skills learning outcomes:
After successful completion of this module, students will:
Task | % of module mark |
---|---|
Essay/coursework | 20 |
Essay/coursework | 30 |
Essay/coursework | 10 |
Groupwork | 10 |
Oral presentation/seminar/exam | 15 |
Oral presentation/seminar/exam | 15 |
Other
Groups of 4-5 students are tasked to develop a system in which two or more types of robot work together to complete a task in the TFTB York Robotics Laboratory.
Task | % of module mark |
---|---|
Essay/coursework | 30 |
'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments. A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback.
The School of PET aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. The School will endeavour to return all exam feedback within the timescale set out in the University's Policy on Assessment Feedback Turnaround Time. The School would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The School will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.
Formative Feedback:
Students will have first and second supervisors who provide feedback on weekly progress reports by email.
Students are also expected to schedule regular meetings with their supervisors to receive feedback on their progressing design and build activities,.
Summative Feedback:
Feedback forms with a detailed breakdown of grades for each part of the assessment provided at the assessment of coursework which occurs both for an initial design presentation in Week 3 and at the end of term when the projects are assessed.
Students are expected to use all the skills they have previously learned in the course but may want to refer to the following for supplementary information:
Modern Robotics (Mechanics,Planning and Control), 2017, K.M. Lynch and F. C. Park.
Introduction to Robotics, P.J. McKerrow Addison Wesley 1991.7
Fundamentals for control of robotic manipulators, Koivo, John Wiley, 1989.
Behaviour based robotics, R. C. Arkin, 1998, MIT press
Davies, E. Roy (2005). Machine Vision: Theory, Algorithms, Practicalities (3rd ed.). Amsterdam, Boston: Elsevier. ISBN 9780122060939