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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics II |
| Learning aims |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Intelligent Robotics II | Code | 614544020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know the different elements of a cognitive architecture as they are usually implemented in autonomous robots. | AC17 |
BC1 BC6 |
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| To know the particularities of learning techniques when used in robotics, paying special attention to open and continuous learning, as well as collaboration-oriented, whether with other robots or with humans, for problem solving. | AC18 |
BC2 |
CC3 CC5 |
| 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). | BC3 BC7 BC9 |
CC7 CC8 |
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