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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Robotics I |
| Contents |
| Identifying Data | 2023/24 | |||||||||||||
| 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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| Topic | Sub-topic |
| Elements of an Intelligent Robotic System | Robotics and Artificial Intelligence Environment, embodiment and reality gap Design of autonomous robots |
| Sensing and actuation. | Distance sensors, inertial sensors, cameras, microphones Actuators and effectors Degrees of freedom Motors, displays, speakers Communications Natural interaction |
| Knowledge based robotics (deliberative) | Knowledge representation Classical control architectures Navigation (locomotion) |
| Behavior based robotics (reactive) | Rule-based systems Fuzzy logic Subsumption architectures |
| Hybrid approaches | Main architectures Cognitive robotics |
| Learning in autonomous robotics | Applied to sensing and actuation Applied to control (reinforcement learning, evolutionary robotics, neural control) |
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