BSc Computer Science and Mathematics

This unit provides an in-depth understanding of the field of cognitive robotics. This will analyse the selection, use and combination of methods and approaches in robotics, in artificial intelligence and in psychology and neuroscience to design intelligent behaviour and cognitive skills in interactive robots.
 

This unit provides an in-depth understanding of the field of cognitive robotics. This will analyse the selection, use and combination of methods and approaches in robotics, in artificial intelligence and in psychology and neuroscience to design intelligent behaviour and cognitive skills in interactive robots.
 

ILO 1: To compare, select and apply different machine learning methods for intelligent behaviour in robots

ILO 2: To discuss the role of ethics and responsible research and innovation in robotics

ILO 3: To analyse the methods and software/hardware technologies for robotics research and applications

ILO 4: To discuss the state of the art in cognitive and intelligent robotics models, and how this informs the design of future robot applications

ILO 5: To understand how our psychology and neuroscience understanding of behaviour and intelligence informs the design of robotics models and applications

Lecture topics: Introduction to Cognitive Robotics Overview of robot technologies, sensors and actuators Robot platforms Machine learning for robotics Developmental Robotics Neuro-robotics Evolutionary and swarm robotics Social robotics and human-robot interaction Language learning and speech interfaces Robot tutors for children Ethics for robotics and AIPractical Labs: The practical lab sessions will focus on the use of machine learning methods, such as deep learning, for robot vision and language and on the software tools for robotics.
 

16 Lectures and 4 labs

Feedback on report and additional oral feedback during office/surgery hours and during labs.
 

Cognitive robotics [electronic resource]     Cangelosi, Angelo,; Asada, Minoru,    The MIT Press    2022    ISBN: 9780262369329

Please note: AI forms part of the assessment methods for this course unit. The coursework requires students to train a neural network (Category D: AI integrated). For more information, please see AI in teaching and Learning Policy. 

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