MSc Robotics with Extended Research

Autonomous Mobile Robots will become key in a range of sectors such as agriculture, critical asset inspections, and social care. Students will learn how to develop both kinematic and dynamic models for such robots and how to develop real-time feedback control systems. They will select and implement appropriate navigation strategies so that the robots can undertake autonomous missions. The assessed coursework submissions are based on developing and implementing robotics focused algorithms using the Python programming language.

The group laboratory activities will involve the live control of an indoor ‘drone’. Communications with the various systems and the task of programming a control algorithm will use the Robot Operating System (ROS) on a Unix type OS. Please familiarise yourself with the ROS framework and programming languages (python or C++). Recommended tutorial here: https://ros2-tutorial.readthedocs.io/en/latest/

Introduce students to the field of autonomous mobile robots, how they can be modelled, controlled, and used in a range of applications.

 

Exam - Departmental feedback form after the exam boardCoursework 1 - 3 weeks after submission, individual and group feedback is providedCoursework 2 – 3 weeks after submission, individual and group feedback is providedIn-lab assessment during practical work - Individual feedback is provided during lab sessions

Small Unmanned Aircraft – Theory and Practice. Beard and McLain. Cook, G. and Zhang, F. (2020). Mobile robots : navigation, control and sensing, surface robots, and AUVs. Second edition. Hoboken, New Jersey: Wiley-IEEE Press.Fossen, T.I. (1994). Guidance and control of ocean vehicles. Chichester: Wiley.Siegwart, R., Nourbakhsh, I.R. and Scaramuzza, D. (2011). Introduction to autonomous mobile robots. 2nd edition. / Roland Siegwart, Illah R. Nourbakhsh, and Davide Scaramuzza. Cambridge, Mass: MIT Press.