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CS5059: ROBOTICS (2017-2018)

Last modified: 27 Feb 2018 14:30


Course Overview

This course surveys many of the core problems of robotics, and their solutions. By the end of the course, a student should be able to program robots that move in predictable ways, overcoming environmental uncertainties; that can interpret their surroundings; and that can plan their motion in order to achieve goals. Topics covered include robot motion; image processing and computer vision; localisation methods and computer based search and planning. Apart from using programming skills to implement robot algorithms, the students will learn how to mathematically model robots in order to understand why robot algorithms are designed as they are.

Course Details

Study Type Undergraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
Co-ordinators
  • Dr Nir Oren

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • Any Undergraduate Programme (Studied)
  • One of EE3043 Control Systems (Passed) or EE3560 Digital Electronic Systems (Passed) or EE3579 Electrical & Electronics Engineering Design (Passed) or EE4017 Sensing and Instrumentation (Passed) or EG3043 Control Systems (Passed) or EG3560 Digital Electronic Systems A (Passed) or EG3579 Electrical & Electronics Engineering Design (Passed) or EG4017 Sensing and Instrumentation (Passed)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

Course Aims

To introduce students to various aspects of robotics, and in particular concepts such as robot motion, vision, localisation and learning.

 

Main Learning Outcomes

To introduce students to various aspects of robotics, and in particular concepts such as robot motion, vision, localisation and learning.

 

Course Content

  • robot motion

  • sensing and computer vision

  • intelligent behaviour (e.g. search and planning; learning; localisation and mapping; coordination)

Degree Programmes for which this Course is Prescribed

  • Master Of Engineering In Electronic & Software Engineering
  • Master of Engineering in Electrical & Electronic Engineering

Contact Teaching Time

42 hours

This is the total time spent in lectures, tutorials and other class teaching.

Teaching Breakdown


Assessment

1st Attempt

100% continuous assessment

Resit

Resubmission of the same or similar assessment, or oral exam as appropriate

Formative Assessment

Ongoing assessment of skills during discussions within tutorials.

Feedback

A written report evaluating student work will be provided.

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