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Nowadays, the technological and scientific research related to underwater perception is focused in developing more cost-effective tools to support activities related with the inspection, search and rescue of wreckages and site exploration: devices with higher autonomy, endurance and capabilities. Currently, specific tasks are already carried out by remotely-operated vehicles (ROV) and autonomous underwater...
In open-ended domains, autonomous robots must have the ability to continuously process visual information, and execute learning and recognition in a concurrent and interleaved fashion. Because the set of categories to be learned is not predefined, it is not feasible to assume that one can pre-program all object categories required by service robots. Topic modelling approaches usually construct the...
Microsoft released its Robotics Developer Studio (MSRDS) and Visual Programming Language (VPL) in 2006. Microsoft VPL is service-oriented, uses workflow-based visual programming, and has strong support for parallel computing. It is a milestone and flagship in software engineering and in computer science education. Many universities and high schools have adopted VPL as a tool for teaching computing...
In this study, steady-state visual evoked potential based brain computer interface design and implementation was being carried out. A portable and affordable EEG device was used to obtain brain signals. Computer monitor were preferred as visual stimuli source. In offline and online experiment, for detection of target visual stimulus selected by user, the amplitude of the EEG signal components, which...
The article presents a way of visualizing point clouds created by 3D scanning in a coal mine. The first part focuses on the choice of individual algorithms for point cloud pre-processing (using the library PCL — Point Cloud Library), namely voxelization, outlier removing and smoothing. Then it is described the main rendering algorithm of the software — the chosen way of point rendering and some more...
Brain-machine interface (BMI) systems collect and classify electroencephalogram (EEG) data to predict the desired command of the user. The P300 EEG signal is passively produced when a user observes or hears a desired stimulus. The P300 can be used with a visual display to allow a BMI user to select commands from an array of selections. The visual stimuli are often repeated and averaged to increase...
In this paper, a concept design for a robotic exoskeleton for the neurological rehabilitation of temporomandibular disorder (TMD) is presented. The proposed system presents a lightweight, portable solution aimed at promoting user engagement in the rehabilitation process. A literature review into temporomandibular joint (TMJ) disorders and existing therapeutic devices has been undertaken, characterizing...
This paper presents the last developments towards vision-based target tracking by an AUV. The main concepts behind the visual relative localization are provided and the results from a statistical analysis for the relative localization algorithm are presented. The purpose of this analysis is to ensure properness of data used to feed controllers that are responsible for governing the AUV motion. A new...
This paper presents NAMIDA, social interface consisting of three robots that help the driver to navigate by considering him as a bystander in a multi-party conversation between the agents. Through this model the cognitive workload of the driver can be reduced compared to the conventional one-to-one communication based approach that directly addresses the driver. We set up an experiment to compare...
Perceptual systems deployed in embedded intelligent systems are handicapped with limited computation resources. As a result, they require explicit computation time consideration during design time. In this paper, we investigate the impact a visual person detector explicitly optimized to minimize computational time has on an exemplar robotic application - navigation in human shared environments. The...
Measuring “how much the human is in the interaction” - the level of engagement - is instrumental in building effective interactive robots. Engagement, however, is a complex, multi-faceted cognitive mechanism that is only indirectly observable. This article formalizes with-me-ness as one of such indirect measures. With-me-ness, a concept borrowed from the field of Computer-Supported Collaborative Learning,...
While LEGO® MINDSTORMS® robots and Arduino boards are widely used today in high school education to stimulate pupils' interest for technologyrelated subjects or to introduce beginner computer science students to programming, it is interesting how these tools may be successfully used also in programming education of technology-agnostic noncomputer science majors. A possible lack of motivation as well...
A visual based navigation for a free floating platform has been realized. The basic principle is the same as for the star trackers used in space operations for attitude determination, with the remarkable difference that also the position with respect to an inertial reference frame is evaluated. Both the working principles and the algorithms for increasing the robustness of the device will be reported...
The Virtual Space Robotics Test bed serves as a decision support system in various space mission scenarios mostly rendezvous and docking (RvD), planetary landing and exploration. It is used for the generation of virtual images which allow the test of camera systems that are not yet available as real hardware systems. It gives the engineer the opportunity to combine different optical systems e.g. Lenses...
In the field of painting and photography, composition guidelines are widely used under various circumstances in order to arouse people's aesthetic emotions. In this paper, we propose a method to evaluate the composition of a scene according to some certain rules, such as Rule of Third, Diagonal Composition and Triangle Composition. We propose an evaluation function with three parameters for each kind...
Numerous work has been done in biologically inspired robotics emulating models, systems and elements of nature for the purpose of solving traditional robotics problems. Chromatic behaviours are abundant in nature across a variety of living species to achieve camouflage, signaling, and temperature regulation. The ability of these creatures to successfully blend in with their environment by changing...
An autonomous mobile robot, working with human teammates, should be equipped to intelligently react to changes in team behavior without relying on directives from human team members. To respond appropriately to changes in team behavior, the robot should detect when these situations occur, and correctly classify the new team behavior. We demonstrate a method for detecting and classifying behavior changes...
In the context of autonomous navigation, vision has demonstrated its potential in replacing bulkier sensors and achieving multi-tasking, operating as the primary sensor for guidance as well as simultaneously fulfilling other dedicated missions. Vision sensors are of particular interest in aerial navigation where their versatility and light weight simplify the avionics and increase the available payload...
Knowledge of the physical properties of objects is essential in a wide range of robotic manipulation scenarios. A robot may not always be aware of such properties prior to interaction. If an object is incorrectly assumed to be rigid, it may exhibit unpredictable behavior when grasped. In this paper, we use vision based observation of the behavior of an object a robot is interacting with and use it...
Place recognition has been intensively studied in the context of robot vision. BoW-based approach gains its popularity for its efficiency and robustness using features extracted from images. Many features have been examined in the past for place recognition purpose. However, there is no such feature that can outperform others in all environments. Each feature has its own advantage, thus, they should...
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