The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
“Cooperative Cognitive Control for Autonomous Underwater Vehicles” (Co3AUVs) is Collaborative Project (STREP) funded by the European Commission (EC) under the Seventh Framework Programme (FP7), “Information and Communication technologies” (ICT) Challenge 2: “Cognitive Systems, Interaction, Robotics”. The aim of Co3AUVs is to develop, implement and test advanced cognitive systems for coordination and...
This paper presents a framework to organize the various processes that endow a robot with autonomy. The main objectives are to allow the achievement of a variety of missions without an explicit writing of control schemes by the developer, and the possibility to augment the robot capacities without any major rewriting. The proposed architecture relies on a partition of the decisional layer in separate...
3D reconstruction is the essential part of robots' autonomous navigation. 3D reconstruction method based on hierarchical level projection of virtual height line (PVHL) is proposed. Unlike traditional method, the proposed method could reconstruct 3D scene independent with the dense disparity map. At first we partitioned the interesting scope uniformly into grid with a certain size, and introduced virtual...
Teleoperated rescue robots designed to explore disaster scenes and find victims face serious limitations due to the cluttered nature of the environments as well as the rescue operators becoming stressed and disoriented in these scenes. An alternative to using teleoperated control is to develop fully autonomous controllers for rescue robots. However, these robots are also not capable of traversing...
Current applications of mobile robots in urban search and rescue (USAR) environments require a human operator in the loop to help guide the robot remotely. Although human operation can be effective, the unknown cluttered nature of the environments make robot navigation and victim identification highly challenging. Operators can become stressed and fatigued very quickly due to a loss of situational...
3D reconstruction is a challenging work for the autonomous navigation of robots. This paper proposes a novel 3D reconstruction method based on projection of virtual height line (PVHL). At first partition the scene scope uniformly into grids with a certain size. Then introduce virtual height lines (VHLs) which do not exist in the scene. Each VHL is projected on left image and right image, and two projection...
An efficient vision-based simultaneous localization and map building (SLAM) method is presented for home robots using a forward monocular camera. Visual navigation can handle complicated problems, such as kidnapping, shadowing and slipping. A low-cost video camera is particularly suitable for mobile home robots in the sense of human robot interaction, and it does not disparity map computation. This...
Mobile robots have to detect and handle a variety of potential hazards to navigate autonomously. We present a real-time stereo vision based mapping algorithm for identifying and modeling various hazards in urban environments - we focus on inclines, drop-offs, and obstacles. In our algorithm, stereo range data is used to construct a 3D model consisting of a point cloud with a 3D grid overlaid on top...
It is necessary to determine the robot's pose to localize a mobile robot in a known environment. If there is no information about the initial location, we are talking about global localization. In our previous work we solved this problem in a two-dimensional environment with an algorithm known as Evolutive Localization Filter (ELF). Based on evolutionary computation concepts, the proposed algorithm...
The need for improving the robustness and the ability to adapt to different operational conditions is a key requirement for a wider deployment of robots in many application domains. To this end, uses of contextual information have proven to be effective in many robotic applications. In this paper, we present a case study on the use of contextual information for rescue robots. The goal is to show that...
A series of kinodynamic sampling-based planners have appeared over the last decade to deal with high dimensional problems for robots with realistic motion constraints. Yet, offline sampling-based planners only work in static and known environments, suffer from unbounded memory requirements and the produced paths tend to contain a lot of unnecessary maneuvers. This paper describes an online replanning...
Recently, many vision-based navigation methods have been introduced as an intelligent robot application. However, many of these methods mainly focus on finding an image in the database corresponding to a query image. Thus, if the environment changes, for example, objects moving in the environment, a robot is unlikely to find consistent corresponding points with one of the database images. To handle...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.