COMP34212
Cognitive Robotics
10
Semester 2
Undergraduate
Level 3
Angelo Cangelosi
Unit coordinator
Department of Computer Science
1
FHEQ level (Framework for Higher Education Qualifications) ' Last part of a Bachelors '
European Credit Transfer & Accumulation System Rating : 5.0
<p>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.<br/> </p>
<p>The course will provide an introduction to the methods and software/hardware technologies for cognitive robotics. It will analyse the selection and application of AI and machine learning methods, such as deep learning, for designing intelligent behaviour and cognitive skills (e.g. vision, motor control, language, social skills). It will discuss a series of cognitive robotics models and experiments to understand how our knowledge of animal and human cognition and neuroscience can inform the development of intelligent skills in robots. The course will also discuss the role of ethics and responsible research and innovation in robotics research and applications.<br/> </p>
<p>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.<br/> </p>
<p><strong>ILO 1: </strong>To compare, select and apply different machine learning methods for intelligent behaviour in robots</p><p><strong>ILO 2: </strong>To discuss the role of ethics and responsible research and innovation in robotics</p><p><strong>ILO 3: </strong>To analyse the methods and software/hardware technologies for robotics research and applications</p><p><strong>ILO 4:</strong> To discuss the state of the art in cognitive and intelligent robotics models, and how this informs the design of future robot applications</p><p><strong>ILO 5:</strong> To understand how our psychology and neuroscience understanding of behaviour and intelligence informs the design of robotics models and applications</p>
Analytical skills
Innovation/creativity
Problem solving
Research
Written communication
<p>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.<br/> </p>
<p>16 Lectures and 4 labs</p><p> </p><p> </p>
1
Written exam
70%
2
Written assignment (inc essay)
30%
<p>Feedback on report and additional oral feedback during office/surgery hours and during labs.<br/> </p>
Y
<p>Cognitive robotics [electronic resource] Cangelosi, Angelo,; Asada, Minoru, The MIT Press 2022 ISBN: <a href="https://www.librarysearch.manchester.ac.uk/discovery/search?query=isbn,contains,9780262369329&search_scope=MyInst_and_CI&sortby=rank&vid=44MAN_INST:MU_NUI&lang=en&mode=advanced&offset=0" target="_blank">9780262369329</a></p>
Assessment written exam
2
Lectures
24
Practical classes & workshops
8
0
66