Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The challenges of developing robotic system for use in LEO or in deep space.
- Dynamics during a mission including launch, cruise and reentry.
- Current and future trend in design and application.
- Consider developed systems, and their operation requirements.
- System architecture of robotic systems.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Development of robotic simulations, when operating under zero gravity.
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Lecture | 36 |
Wider reading or practice | 36 |
Preparation for scheduled sessions | 18 |
Follow-up work | 18 |
Revision | 10 |
Completion of assessment task | 104 |
Total study time | 222 |
Resources & Reading list
Journal Articles
W.W. Mendell (2004). The roles of humans and robots in exploring the solar system. Acta Astronautica, 55(2).
da Fonseca, I. M. & Pontuschka, M. N. (2015). The State-of-the-art in Space Robotics. Journal of Physics: Conference Series, 641.
Yoshida, Kazuya (2009). Achievements in space robotics. IEEE Robot. Automat. Mag., 16.4, pp. 20-28.
S. Ahsan Badruddin and S. M. Dildar Ali (2014). Recent Developments in the Optimization of Space Robotics for Perception in Planetary Exploration. Presented in the International Conference on Space.
Textbooks
Peter Corke. Robotics, Vision and Control Fundamental: Algorithms in MATLAB.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Continuous Assessment | 25% |
Final Assessment | 75% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Set Task | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Set Task | 100% |
Repeat Information
Repeat type: Internal & External