Last modified: 05 Aug 2021 13:04
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.
| Study Type | Undergraduate | Level | 4 |
|---|---|---|---|
| Session | First Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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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
Information on contact teaching time is available from the course guide.
Programming Exercises 50%
Implement an end to end robotics system 50%
Alternative Resit Arrangements for students taking course in Academic Year 2020/21
Where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).
There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Create | Be able to create a complete simulated robot and evaluate it within a simulation environment. |
| Conceptual | Analyse | Analyse how different choices with regards to robot platform and actuators affect robot freedom of movement. |
| Conceptual | Analyse | Apply appropriate path finding algorithms and understand where they should be applied. |
| Conceptual | Analyse | Apply computer vision and sensor fusion algorithms to enable a robot to perceive and interact with its environment in an appropriate manner. |
| Conceptual | Apply | Understand how localisation can take place and be able to create and evaluate localisation algorithms. |
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