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COGNITIVE ROBOTICS

Module code: EE650
Credits: 5
Semester: 1
Department: ELECTRONIC ENGINEERING
International:

	Overview
	Aims: � analyse the methods and software/hardware technologies for robotics research and applications � understand how our psychology and neuroscience understanding of behaviour and intelligence informs the design of robotics models and applications � compare, select and apply different machine learning methods for intelligent behaviour in robots � Discuss the state of the art in cognitive and intelligent robotics models, and how this informs the design of future robot applications

Overview

Aims:

� analyse the methods and software/hardware technologies for robotics research and applications
� understand how our psychology and neuroscience understanding of behaviour and intelligence informs the design of robotics models and applications
� compare, select and apply different machine learning methods for intelligent behaviour in robots
� Discuss the state of the art in cognitive and intelligent robotics models, and how this informs the design of future robot applications

	Learning Outcomes
	On successful completion of the module, students should be able to: Implement reinforcement learning algorithms on robots in simulations and on physical systems. Evaluate the performance of reinforcement learning algorithms..

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? No

	Timetable
	This timetable is not currently available, please contact the Electronic Engineering Department.

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Courses / Module

COGNITIVE ROBOTICS