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.
A significant proportion of Web traffic is now attributed to Web robots, and this proportion is likely to grow over time. These robots may threaten the security, privacy, functionality, and performance of a Web server due to their unregulated crawling behavior. Therefore, to assess their impact, it must be possible to accurately detect Web robot requests. Contemporary detection approaches, however,...
The passive dynamic control (“PDC”) is a mechanical system control method based on an inherently safe design. It positively uses a passive element (braking effort) whose characteristics are variable. In this paper, the PDC is applied to a rotary pneumatic actuator. First, the rotary pneumatic actuator equipped with an electromagnetic brake and a sensor for applying the PDC is proposed, and its control...
A system for humanoid robot arm movement concerns about generating a human-like point-to-point (p2p) trajectory. For more than a decade, numerous systems have been devised and many of them were based on complex dynamical systems. In this paper, we introduce a simpler system, integrating support vector machine (SVM) learning model, which can achieve same p2p objective. In our experiment, we compare...
Understanding various factors affecting human operator's performance is one key to effectively controlling a multi-robot service queue. In this paper we study the optimal incentive design and task allocation scheme in the presence of strategic human operators with unknown capability information. We build a mechanism design framework to model and analyze the problem. We show that a simple and easy-to-implement...
This research is mainly to find culture differences when the user interacts with a home robot having facial expressions. Different nations have different cultures, which are inevitably reflected in communicative modes. Without knowledge of these differences in cross-cultural communication, people may find it hard to pass on the desired message and misunderstandings may arise. In order to let the home...
In this paper, we propose a memory recollection and retrieval system using spatial log data in daily living which allows users to see behavior of the past, unconscious behavior and object-oriented behavior in the Intelligent Space. The proposed system consists of multiple camera devices and microphone and it utilizes various kinds of data; human identification, human motion, object instance, weather...
Magnethoreological-fluid (MR-fluid) actuators are consider as as suitable instruments in rehabilitation trainings so that they are passive actuators. Passive actuators will not generate force by themselves. Only when external force acts on them, they generate reaction force. Considering these properties, passive actuators are stable actuators and appropriate for the human society because they would...
Many robots are designed so that the number of their actuators is as small as possible to decrease their weight. In many cases, the number of actuators in robots is smaller than that of muscles in animals. We propose the method to increase the dexterity of the robot without increase of actuators. The link made from shape memory gel (SMG) is deformed to be suitable for each task of the robot. The methods...
Studying human motor control has received increased attention during the past decades. Both the design and control of robotic artifacts may benefit from observation of human behavior. In this paper a novel method for capturing the dynamic behavior of the human hand is presented. The low dimensional kinematics of the human hand, including the wrist, and the low dimensional representation of the muscular...
We present preliminary results on the passive velocity field control (PVFC) of the quadrotor-type UAVs, which allows the quadrotor to follow the direction of a given velocity field while enforcing passivity of the closed-loop system. Some theoretical results are presented along with a simulation result.
In this paper, we discuss pointing gesture estimation in the context of Human Robot Interaction (HRI). Pointing gesture provides and utilizes information in Kukanchi (Interactive Human Space Design and Intelligence) more natural than other conservative method like keyboard or mouse. Therefore, we design a user interface adopting pointing gesture to manipulate objects and robot naturally in 3D space...
Using BCI technologies in neural rehabilitation, we can substantially improve hundreds of lives of people after stroke with more effective rehabilitation in restoration of their motor control. In this study, we demonstrate a neuro-rehabilitation framework which integrates BCI and a robot device to provide an active upper limb physical therapy. Our target population for neuro-rehabilitation are patients...
This paper introduces a novel vision device for hand gesture-based human-robot interaction. Taking advantage of an eye-in-hand configuration, the proposed device guarantees that a target hand is projected always onto images captured from a camera. On the basis of the device, an adaptive histogram-based hand region segmentation algorithm is also proposed especially to enhance the performance against...
In this paper, we built a behavior model for the Ubiquitous Display (UD) to provide a situation oriented service to the users in a large-scale public facility. The UD is a mobile-projection robot to support the user with visual information. If the UD provides a service in a public facility, we should assume the possible situations previously. According to the situation, the model should be built in...
Time-domain passivity approach (TDPA) is a way of stable haptic interaction and robot control, such that at any given time the passivity of the system is guaranteed. It is formulated in time-domain, which facilitates its integration in control loop. In this paper we discuss application of this approach to the teleoperation system, model of which assumes admittance mode - with input of effort (force)...
Modern robotic platforms, deployed for environmental monitoring and mapping, are able to rapidly accumulate large data sets. Whilst the data sets collected by these platforms are highly descriptive, they are often too large for human experts to analyse exhaustively. Although the large data sets could be analysed by humans in principle, the amount of labour and time required to process them is not...
We have developed a systematic methodology for designing emotional facial expressions for humanoid robots, especially those with limited degrees of freedom. The methodology is firmly grounded in the psychological literature on human static and dynamic emotional facial expressions. We demonstrate the methodology by applying it to a recent humanoid robot and evaluate the results, confirming that the...
This paper presents an environment for design of interactive behaviors for social robots. Its structure consists of three levels which are: perception, decision and action. Their principles are briefly described and we detail more specifically implementation of people searching and monitoring in cluttered environments. We describe in particular the methods for people detection, state estimation and...
This paper describes a new methodological approach and robot system to trigger more prosocial human reactions towards a robot by transferring social-psychological principles from human-human interaction to human-robot interaction (HRI). The main idea is to trigger increased helpfulness by proactively creating similarity through dynamic emotional adaption of the robot to the mood of the human. This...
In this paper, we present a novel semi-supervised clustering approach based on Markov process. It deals with data which include abundant local constraints. We apply the designed model to a topological region extraction problem, where topological segmentation is constructed based on sparse human inputs (potentially provided by human experts). The model considers human indications as seeds for topological...
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.