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Titlebook: Cooperative Robots and Sensor Networks 2014; Anis Koubaa,Abdelmajid Khelil Book 2014 Springer-Verlag Berlin Heidelberg 2014 Computational

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楼主: 天真无邪
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Toward a Divine in the Feminine,are inspired by the algorithms developed in robotics to solve the robot localization problem exploiting landmarks in the environment. The robotics community developed algorithms of Simultaneous Localization and Mapping (SLAM), in which the robot pose is estimated while simultaneously mapping the pos
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Toward a Divine in the Feminine,ode range measurements as well as measurements static nodes take from other nodes –internode measurements– exploiting WSN nodes capability of organizing into networks. To cope with the high number of measurements, the method adopts an PF-EIF SLAM filter, significantly more scalable and efficient tha
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Setting the Stage: An Introduction,ots and Wireless Sensor Networks (WSNs) is a good example of such cooperation, and many recent research results have highlighted the benefits of the marriage of these two technologies. The main objectives of this chapter include: (1) providing a survey on a variety of applications with cooperating m
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Identifying Gender(ed) Performances,perations. To enable such operations, a human operator must trust the capability of a robot to perform tasks autonomously, and the robot must establish its trust to the human operator based on human performance and follow guidance accordingly. Therefore, we seek to i model the mutual trust between h
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https://doi.org/10.1007/978-1-137-12313-8nables the integration of a large number of heterogeneous devices in a single system. To allow these devices to communicate and cooperate, ROS requires device-specific interfaces to be available. This restricts the number of devices that can effectively be integrated in a ROS-based system. In this w
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https://doi.org/10.1007/978-1-137-12313-8r potential to be deployed in many real-life applications where human accessibility is limited. While early deployments of WSNs utilized stationary tiny sensors, later, due to wide range of application possibilities, deployment of mobile sensors within WSNs were considered. These sensors have been u
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https://doi.org/10.1007/978-1-137-12313-8onnectivity repairing and redundancy repairing. During the diagnosis stage the robots survey the scenario learning all required information of the problem. The connectivity repairing mechanism, which takes place after the diagnosis stage, finds the best deployment locations to ensure that the WSN ha
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https://doi.org/10.1007/978-1-137-12313-8 need of providing an intelligent mobility controller, applicable to any WSN industrial environment or testbed setting with mobility requirements. In particular, we utilize fuzzy logic control, due to its reported strength in controlling nonlinear systems using linguistic information, to build an ef
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