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URUS: Ubiquitous Networking Robotics in Urban Settings This project focuses on designing and developing a network of robots that in a cooperative way interact with human beings and the environment for tasks of guidance and assistance, transportation of goods or people, and surveillance in urban areas. The specific research objectives to develop are: (1) cooperative navigation and optimal resource allocation; (2) cooperative localization, exploration and map building; and (3) wireless communication between users, robots and the environment.
Additional information: montano AT unizar.es |
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NERO: Networked mobile robots for service and intervention tasks The complex nature of tasks for mobile robotics makes necessary to develop nets of organized agents working in cooperation. This project is related with the European Project URUS and we propose to work in three fields: (1) Multi-robot localization and navigation. (2) Perception-Action techniques using range and visual information given by all the agents in the network. (3) Real time communications for mobile agents.
Additional information: csagues AT unizar.es |
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EXPRES: Automated exploration techniques for rescue aplications The main project objective is the research in exploration strategies: a set of perception-action techniques that allow to obtain environment information, to plan motions for refining and completing this information (active perception), and to perform safe robot motions in non-structured scenarios. In recent years, these techniques have been greatly improved and have been applied in indoor environments with very good results. The goal of this project is to further develop these techniques to apply them to novel problems and more difficult scenarios, like rescue operations. The research team will develop new Simultaneous Localization And Mapping (SLAM) techniques using partial information gathered from sensors such as vision, and multi-vehicle map building techniques for big environments. Also, dynamic environment modelling and object tracking techniques will be developed. To cope with non-linear problems and non-Gaussian distributions of error arising in complex and big scenarios, new Bayesian estimation methods for SLAM will be investigated. For computer vision, robust wide-baseline matching techniques will be developed. Furthermore, the team will develop new navigation techniques that take into account the robot and environment dynamics, and multi-robot navigation strategies. The research project pursues two novel applications of the exploration strategies: (1) Search and rescue robots for confined or hazardous environments such as roadway tunnels after an accident or big outdoor and underground spaces like parkings; (2) An ARVA (Appareil de Recherche de Victimes d'Avalanches) system for rescue teams allowing fast and precise localization of multiple victims in snow avalanches, using radio-location and optimal estimation techniques. |
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Projects