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Mobile robot localization is the problem of determining the position of a mobile robot from sensor data. Active localization provides setting the robot's motion direction and determining the pointing direction of the sensors during localization so as to most efficiently localize the robot. This paper proposes an active localization approach that employs Monte Carlo Localization, which is based on...
Power allocation with relay selection with incomplete channel state information is considered. Particularly, the utility function is based on the rate and adds the different pricing schemes to reflect the cost of each node according to the different status of each node. We decide if and which relay node to take part in cooperative communication based on the SNR of each node. Then the source and the...
Localization and mapping in robotics are preliminary but challenging problems. A learning approach must be followed by a robot to understand its environment and perform data association before it accomplishes any other tasks. In this paper, we describe a novel combination of techniques to map the environmental boundaries traced by the robot and localize it inside the bounded region. This is an effort...
Cooperative multi-robot localization uses sensor measurements to estimate poses (locations, orientations) of robots in a given environment. Existing approach [3] updates a robot's belief of its pose instantly whenever it detects another robot. However, such instant update does not always contribute positively to the localization process, since both robots' pose estimates could be highly uncertain...
Named entities (NEs) are the expressions in human languages that explicitly link notations in languages to the entities in the real world. They play important role in cross-language information retrieval (CLIR) because most users' requests have been found to have NEs, and majority of out-of-vocabulary terms are NEs. Therefore, missing their translations has a significant impact to the retrieval effectiveness...
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