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Recently, in service robotics area, increasing attention is being paid on interaction capability of robot for human-being as well as its task performing capability. In this paper, in particular, an automatic gesture generation methodology for conversational interaction of service robots is presented toward more human-friendly human-robot interaction. From the survey on the results in the psychology...
Human activity recognition is an essential ability for service robots and other robotic systems which are in interaction with human beings. To be proactive, the system must be able to evaluate the current state of the user it is dealing with. Also future surveillance systems will benefit from robust activity recognition if realtime constraints are met, allowing to automate tasks that have to be fulfilled...
This paper presents the development and performance evaluation of a human-computer interface that enables a limb-disabled person to access a computer via neural signals. For this purpose, electromyogram (EMG) signals were extracted from four muscles on the lower arm, and signal statistics (namely the mean and variance) were used for a filtering process. Six patterns were then classified through the...
This paper presents a case study of edutainment robot, which is an intelligent robot for educational use with a voice-QA model applied. The emphatic functions of our robot are: analyzing spoken question from a student, finding an appropriate answer in Korean encyclopedia, and then serving the answer with speech synthesis. We develop the ESTk, which is an Automatic Speech Recognition (ASR) system based...
This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm based on a combination of adaptable pre-trained hidden Markov models and a computational model of classical conditioning is outlined. In a training task, where the desired outcome is known by an AIBO pet robot as well as its...
We propose a novel design of artificial robot ear for sound direction estimation using measured two outputs only. The spectral features in head-related transfer functions and in interaural transfer functions (ITFs) are distinctive in the voice frequency band. Thus, these features provide effective sound cues to estimate the sound direction using two measured ear outputs only without input information...
In this paper, we describe BuildBot, a robotic interface developed to assist with the continuous integration process utilized by co-located agile software development teams. BuildBot's physical nature allows us to engage the agile software development team members through vision, hearing and touch. In this way, BuildBot becomes an active part of the development process by bringing together human-robot...
The haptic sense provides continuous information during physical human-machine interaction. Humans can respond very quickly and effectively to such feedback, such as a driver making rapid steering adjustments when his vehicle hits a pothole. It may be possible for designers to take advantage of this interaction by providing users with well- designed haptic communications to assist in manual control...
The advances on robot technology, researchers are able designing human-like robots that are able of displaying more complicated motor skills as well as displaying some degree of intelligence. This robot could read a musical score and play a repertoire of 16 tunes on a keyboard instrument. In this talk, such research trends will be described based on the development of the Waseda Flutist Robot. This...
To realize the natural symbiosis of human and robots, we need to clarify multi-aspect model structure of their interaction through physical, mental, social interfaces. Here, we notice the dual interaction model which is composed of intention adjustment process in social interaction and entrainment adjustment process under common intention. The former should be designed on the assumption that human...
We have developed an embodied avatar mediated communication system by using a human avatar called the 'VirtualActor' and an abstract avatar called the 'VirtualWave' within the same communication space. VirtualActor is a CG character based on a talker's embodied information in the virtual space. The self-referable avatar's motion is consistent with the talker's conscious behavior and unconscious communication...
Endowing robots with a social interface is often costly and difficult. Virtual characters on the other hand are comparatively cheap and well equipped but suffer from other difficulties, most notably their inability to interact with the physical world. This paper details our wearable solution to combining physical robots and virtual characters into a mixed reality agent (MiRA) through mixed reality...
Interaction between humans involves a plethora of sensory information, both in the form of explicit communication as well as more subtle unconsciously perceived signals. In order to enable natural human-robot interaction, robots will have to acquire the skills to detect and meaningfully integrate information from multiple modalities. In this article, we focus on sound localization in the context of...
Robot ecologies provide a new paradigm for assistive, service, industrial, and entertainment robotics which is quickly gaining popularity. These ecologies contain a large number of robotic components pervasively embedded in the environment and interacting with each other. Human users of such systems need to be able to interface with both the system as a w hole and, if desired, which each individual...
The paper presents the theoretical background and the design scheme for a perceptual and improvisational robotic marimba player that interacts with human musicians in a visual and acoustic manner. Informed by an evaluation of a previously developed robotic percussionist, we present the extension of our work to melodic and harmonic realms with the design of a robotic player that listens to, analyzes...
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