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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics I |
| Learning aims |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Intelligent Robotics I | Code | 614544019 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know the different types of robots depending on their application. Know the principles of operation of the different types of sensors and actuators adapted to the different operating environments. | AC17 |
BC1 BC6 |
CC3 |
| Have an overview of the different possibilities and control objectives in traditional smart robots, as well as the basic technologies that can be applied. | AC18 |
BC3 |
CC8 |
| Know how to implement, even if it is in a simplified way, examples/elements of everything seen in theory (components of a cognitive architecture, learning methods). | AC18 |
BC2 BC7 BC9 |
CC5 CC7 |
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