MEng Mechatronic Engineering with Industrial Experience

This unit introduces students to the field of robotic manipulation, which is widely used in several application areas, from manufacturing to surgery, agriculture to social care. Manipulators allow robots to interact with their environment and are critical to their full potential to assist humans with tasks.  Students will learn how to create kinematic and dynamic models for manipulators before developing a range of controllers to enable them to complete tasks.

The course unit aims to: 
(1)   Provide students with understanding of modern autonomous systems and robotic manipulators. 
(2)   Enable the students to model robots. 
(3)   Enable the students to design linear and nonlinear controllers for robotic manipulators. 
(4)   Provide students with an overview on main topics encountered in autonomous systems field such as localization techniques, mapping, SLAM, path-planning.

ILO 1 Describe the key components of a robotic manipulator and evaluate the effectiveness of end-effectors for a given task. (Developed and Assessed)

ILO2 Formulate kinematic and dynamic models for robotic manipulators. (Developed and Assessed)

ILO3 Design and implement appropriate closed-loop controllers for robotic manipulator tasks. (Developed and Assessed)

ILO4 Analyse the control system performance against appropriate metrics.(Developed and Assessed)

ILO5 Present scientific data to professional engineering and/or lay-audiences (Assessed)

(1) Demonstrate understanding of robotic manipulators, their modelling and control.

(2) Demonstrate understanding of main topics encountered in Autonomous Systems field.

• 50% continuous assessments (10 in total, 5% each)
• 50% written exam

Department feedback after the Exam Board (written exam)

In-session or 1 week after submission (continuous assessment)

Robot Modeling and Control, 2nd Edition, Mark W. Spong, Seth Hutchinson,M. Vidyasagar, John Wiley & Sons, Inc., 2020

Siciliano, B., Sciavicco, L., Vilani, L., & Oriolo, G. (2009). Robotics: Modelling, Planning and Control. In Advanced Textbooks in Control and Signal Processing. Springer-Verlag London. https://doi.org/10.1007/978-1-84628-642-1.