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CS4048: ROBOTICS (2026-2027)

Last modified: 22 Jul 2026 13:42


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 4
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr. Rafael Cardoso
  • Dr Mingjun Zhong

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

  • Any Undergraduate Programme
  • One of Programme Level 3 or Programme Level 4 or Programme Level 5
  • Computing Science (CS)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

This course introduces the student to important problems, and their solutions, in the field of robotics. Topics include

- Robot motion
- Sensing
- Computer vision and image processing
- Localisation
- Search and planning






Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2026 for Term 1 and Full Year courses and 8 January 2027 for Term 2 courses.

Summative Assessments

Presentation & Group Programming Project

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Feedback

Presentation (20 minutes) and Group Programming Project (Code and Report, 1500 words) worth 50% of the overall grade.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseApply computer vision and sensor fusion algorithms to enable a robot to perceive and interact with its environment in an appropriate manner.
ConceptualAnalyseApply appropriate path finding algorithms and understand where they should be applied.
ConceptualApplyUnderstand how localisation can take place and be able to create and evaluate localisation algorithms.
ConceptualCreateBe able to create a complete simulated robot and evaluate it within a simulation environment.

Exam

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Feedback

2-hour exam worth 50% of the overall grade.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseApply computer vision and sensor fusion algorithms to enable a robot to perceive and interact with its environment in an appropriate manner.
ConceptualAnalyseAnalyse how different choices with regards to robot platform and actuators affect robot freedom of movement.
ConceptualAnalyseApply appropriate path finding algorithms and understand where they should be applied.
ConceptualApplyUnderstand how localisation can take place and be able to create and evaluate localisation algorithms.
ConceptualCreateBe able to create a complete simulated robot and evaluate it within a simulation environment.

Formative Assessment

There are no assessments for this course.

Resit Assessments

Exam

Assessment Type Summative Weighting
Assessment Weeks Feedback Weeks

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Feedback

2-hour exam. Best of (resit exam mark) or (resit exam mark with carried forward continuous assessment marks).

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualApplyUnderstand how localisation can take place and be able to create and evaluate localisation algorithms.
ConceptualAnalyseAnalyse how different choices with regards to robot platform and actuators affect robot freedom of movement.
ConceptualCreateBe able to create a complete simulated robot and evaluate it within a simulation environment.
ConceptualAnalyseApply appropriate path finding algorithms and understand where they should be applied.
ConceptualAnalyseApply computer vision and sensor fusion algorithms to enable a robot to perceive and interact with its environment in an appropriate manner.

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