Content
The optional modules listed are those that are most likely to be available, but they may be subject to change.
The course is designed and structured to help you develop the critical and practical skills needed to create intelligent robotics systems. Throughout your studies, this will involve understanding and critically analysing the nature of intelligence in natural and artificial systems, and using the resulting insights to build smart technologies.
The following core modules are indicative of the course structure:
- Robotics Systems (20 credits) - An overview of the latest robotics research and a hands-on approach to the subject, introducing key topics such as PID control and modelling, computer vision, robotic design and mobile robotics.
- Robotic Fundamentals (15 credits) - Focuses upon three fundamentals of robots: the mechanics of robot bodies kinematic properties and algorithms, intelligent control techniques, and programming.
- Human-Robot Interaction. (15 credits) - An overview of human-robot interaction (HRI) as a research field. It will cover different contexts in which humans interact with robots now and in the future.
- Machine Vision (15 credits) - Introduces image processing as well as state-of-the-art feature extraction and machine learning, with research-informed teaching, aiming to provide students with the key skills to meet industry needs.
- Robotics Research Technology and Methods (20 credits) - The aim of this unit is to introduce you to the social, industrial and research context of robotics and autonomous systems, preparing you to perform independent research in these areas.
- Introduction to Artificial Intelligence (10 credits)
- Dissertation (60 credits).
Plus one optional module from:
- Advanced Control and Dynamics
- Assistive Robotics
- Robot Learning and Teleoperation.
In addition, one optional module from:
- Bio-Inspired Artificial Intelligence
- Intelligent Information Systems
- Transport and mobility Modelling
- Soft Robotics.
The University continually enhances our offer by responding to feedback from our students and other stakeholders, ensuring the curriculum is kept up to date and our graduates are equipped with the knowledge and skills they need for the real world. This may result in changes to the course. If changes to your course are approved we will inform you.
Learning and Teaching
You'll learn through a combination of lectures, seminars, group work, and through sessions at the Bristol Robotics Laboratory (BRL). The course is offered in partnership between UWE Bristol and the University of Bristol, and you will attend sessions at UWE Bristol's Frenchay campus, the University of Bristol, and BRL.
See our full glossary of learning and teaching terms.
Study time
Full-time one year, starting in September.
Assessment
You will normally be assessed through examination and coursework, as well as the dissertation.
See our full glossary of assessment terms.