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Titlebook: Intelligent Robotics and Applications; 4th International Co Sabina Jeschke,Honghai Liu,Daniel Schilberg Conference proceedings 2011 Springe

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书目名称Intelligent Robotics and Applications
副标题4th International Co
编辑Sabina Jeschke,Honghai Liu,Daniel Schilberg
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Robotics and Applications; 4th International Co Sabina Jeschke,Honghai Liu,Daniel Schilberg Conference proceedings 2011 Springe
描述The two volume set LNAI 7101 and 7102 constitute the refereed proceedings of the 4th International Conference on Intelligent Robotics and Applications, ICIRA 2011, held in Aachen, Germany, in November 2011. .The 122 revised full papers presented were thoroughly reviewed and selected from numerous submissions. They are organized in topical sections on progress in indoor UAV, robotics intelligence, industrial robots, rehabilitation robotics, mechanisms and their applications, multi robot systems, robot mechanism and design, parallel kinematics, parallel kinematics machines and parallel robotics, handling and manipulation, tangibility in human-machine interaction, navigation and localization of mobile robot, a body for the brain: embodied intelligence in bio-inspired robotics, intelligent visual systems, self-optimising production systems, computational intelligence, robot control systems, human-robot interaction, manipulators and applications, stability, dynamics and interpolation, evolutionary robotics, bio-inspired robotics, and image-processing applications.
出版日期Conference proceedings 2011
关键词autonomous; behavior estimation; genetic optimization; particle swarm optimization; self-reconfigurable
版次1
doihttps://doi.org/10.1007/978-3-642-25489-5
isbn_softcover978-3-642-25488-8
isbn_ebook978-3-642-25489-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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https://doi.org/10.1007/978-3-642-25489-5autonomous; behavior estimation; genetic optimization; particle swarm optimization; self-reconfigurable
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Helping a Bio-inspired Tactile Sensor System to Focus on the Essentialy the part of the input data which is actually needed to fulfill the classification task. For that, non-negative matrix factorization is evaluated by quantifying the trade-off between classification accuracy and input (and network) dimension.
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Higher Brain Centers for Intelligent Motor Control in Insects in the future instead of the default approach behavior. Moreover, we provide evidence that the highly adaptive and successful locomotion of flies relies also on short-term integrators, motor learning, body size representation and adaptive termination of behavior.
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Models of Visually Guided Routes in Ants: Embodiment Simplifies Route Acquisitiond thus a familiar movement to make. We show the feasibility of our approach as a model of ant-like route acquisition by learning non-trivial routes through a simulated environment firstly using the complete set of views experienced during learning and secondly using an approximation to the distribution of these views.
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