RoboCup@Home: Adaptive Benchmarking of Robot Bodies and Minds

作者: Tijn van der Zant , Luca Iocchi

DOI: 10.1007/978-3-642-25504-5_22

关键词: Engineering managementService (systems architecture)Quality (business)Computer scienceBenchmark (computing)Gesture recognitionArtificial intelligenceService robotRobotBenchmarkingTest (assessment)

摘要: RoboCup@Home is the largest benchmarking effort for domestic service robots. The in form of a competition, with several yearly local competitions and an international one. Every year tests become more complex, depending on results previous years. In past four years focus has been physical aspects robots, such as manipulation, recognizing people human-robot interaction. 2010, first time, there test which targeted at mental cognitive capabilities robot. order to guarantee scientific quality proposed solutions effective integration fully working system, all include different change every year. This novel feature raises question of: How can benchmark be defined same time measure progress over many years? this paper we present methodology applied measuring effectiveness robots through new integrated abilities

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