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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics II |
| Methodologies |
| 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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| Methodologies | Description |
| Laboratory practice | Laboratory or remote sessions using ICTs in which the characteristics of the robotic platform selected for the assignment and its programming software will be explained. In addition, these classes will be used for students to program and test in the real robot the controllers they are doing for the supervised work. |
| Supervised projects | Practices in which some of the techniques seen in the theoretical classes on robot simulation environments and the robotic platforms selected by the teachers of the assignment will be implemented. These works will be carried out by the students autonomously and their progress will be tutored by the teachers. |
| Guest lecture / keynote speech | Oral presentation by the teachers of the theoretical subject. This methodology can be hybridized with a collaborative learning methodology. |
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