Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Robotics |
Contents |
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Identifying Data | 2016/17 | |||||||||||||
Subject | Robotics | Code | 614G01098 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Fourth | Optativa | 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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