CODE | ARI2202 | ||||||||
TITLE | Robotics 1 | ||||||||
UM LEVEL | 02 - Years 2, 3 in Modular Undergraduate Course | ||||||||
MQF LEVEL | 5 | ||||||||
ECTS CREDITS | 5 | ||||||||
DEPARTMENT | Artificial Intelligence | ||||||||
DESCRIPTION | This study-unit will focus on mobile robotics, emphasising practical algorithms for navigation and hardware implementation. It shall introduce students to robotics and their applications; design and assembly of robots; use of sensors to acquire necessary data; use of motors to manipulate different robotic parts; and development of algorithms used for localisation, mapping and planning. Study-Unit Aims: The aims of the study-unit are: - To explain the basic elements that make up a robotic system; - To introduce different robotic configurations; - To familiarise students with robot motion; - To introduce the use of sensors to perceive the environment; - To introduce probabilistic robotics; - To explain localisation and planning for navigation. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - describe how different robots work and identify possible applications; - design and assemble a robot for specific tasks; - experiment with sensors to acquire relevant data; - use feedback control to design motor control loops; - use probabilistic methods to implement 2D localisation and mapping on a mobile robot; - evaluate algorithms for localisation, mapping and planning. 2. Skills: By the end of the study-unit the student will be able to: - design and assemble a mobile robot; - acquire relevant data using different sensors; - use feedback control to design motor control loops; - implement 2D localisation and mapping on a mobile robot; - evaluate algorithms for localisation, mapping and planning; Main Text/s and any supplementary readings: Main Texts: - Murphy, R. (2019). Introduction to AI robotics. 2nd ed. London: The MIT Press. Supplementary Readings: - Govers, F. X. (2018). Artificial intelligence for robotics: Build intelligent robots that perform human tasks using AI techniques. Birmingham, UK: Packt Publishing Ltd. |
||||||||
STUDY-UNIT TYPE | Lecture, Independent Study and Practical | ||||||||
METHOD OF ASSESSMENT |
|
||||||||
LECTURER/S | Gabriel Hili Benjamin Joseph Spiteri |
||||||||
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |