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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Robotics |
| Contents |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Robotics | Code | 614G01098 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Fourth | Optional | 6 | ||||||||||
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| Topic | Sub-topic |
| Introduction to autonomous robotics | ¿What is an autonomous robot? History Sensors and actuators Behaviors Planning Learning and evolution |
| Elements of a robotic system | Robotic system Actuators and effectors Sensors Control architectures |
| Behavior-based robotics | Antecedents Classical control architectures Control architectures |
| Knowledge-based robotics | Knowledge Traditional deliberative robotics Navigation |
| Hybrid approximations | Main hybrid architectures Cognitive robotics |
| Evolutionary robotics | Evolutionary algorithms Application to robotics |
| Learning in autonomous robotics | Learning in classifier systems Reinforcement learning: Q-learning Combination of reinforcement and connectionist learning |
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