Measurement of Robot Similarity to Determine the Best Demonstrator for Imitation in a Group of Heterogeneous Robots
| Autor: | Raphael Golombek, Philipp Adelt, Willi Richert, Bernd Kleinjohann |
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| Rok vydání: | 2008 |
| Předmět: |
ComputingMethodologies_SIMULATIONANDMODELING
Group (mathematics) business.industry Computer science media_common.quotation_subject ComputingMilieux_PERSONALCOMPUTING Bayesian network Space (commercial competition) ComputingMethodologies_ARTIFICIALINTELLIGENCE Robot control Human–computer interaction Similarity (psychology) Robot Computer vision Artificial intelligence Imitation business Learning behavior media_common |
| Zdroj: | Biologically-Inspired Collaborative Computing ISBN: 9780387096544 BICC |
| DOI: | 10.1007/978-0-387-09655-1_10 |
| Popis: | Imitation is not only a powerful means to drastically downsize the exploration space when learning behavior. It also helps to align the learning efforts of a robot group towards a common goal. However, one prerequisite in imitation, the decision of which robot to imitate, is often factored out in current research. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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