• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.735-742
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• 2007

The importance of the interaction capability of a robot increases as the application of a robot is extended to a human's daily life. In this paper, a portable mediate interface Handybot is developed with various interaction channels to be used with an intelligent home service robot. The Handybot has a task-oriented channel of an icon language as well as a verbal interface. It also has an emotional interaction channel that recognizes a user's emotional state from facial expression and speech, transmits that state to the robot, and expresses the robot's emotional state to the user. It is expected that the Handybot will reduce spatial problems that may exist in human-robot interactions, propose a new interaction method, and help creating rich and continuous interactions between human users and robots.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1393-1396
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• 2005

URC 로봇을 위한 통신 프로토콜을 개발하기 위해서는 홈네트워킹에서 사용되는 프로토콜들이 어떤 진화과정을 거치는지 아는 것이 매우 중요하다. 본 논문에서는 홈네트워크 연동 미들웨어로 UPnP를 선택하였다. UPnP 기반의 URC 로봇과 연동은 블루투스를 이용한 무선 시리얼 통신상에서 설계하고 구현하였다.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.10
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• pp.1174-1180
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• 2011

Not all line or point features capable of being extracted by sonar sensors from cluttered home environments are useful for simultaneous localization and mapping (SLAM) due to their ambiguity because it is difficult to determine the correspondence of line or point features with previously registered feature. Confused line and point features in cluttered environments leads to poor SLAM performance. We introduce a sonar feature structure suitable for a cluttered environment and the extended Kalman filter (EKF)-based SLAM scheme. The reliable line feature is expressed by its end points and engaged togather in EKF SLAM to overcome the geometric limits and maintain the map consistency. Experimental results demonstrate the validity and robustness of the proposed method.

• 한국정보교육학회:학술대회논문집
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• 2008.01a
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• pp.129-135
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• 2008

본 연구는 인간의 자아표현 욕구와 창조적 욕구로 인해 자신을 대체할 산물들을 끊임없이 만들어 내는 과정에서 중요하게 작용되는 자기노출라는 심리를 이용하여 아바타와 학습자의 얼굴을 합성하는 증강가상을 통하여 가상세계에서의 현실감을 부여함으로써 학습자의 몰입을 유도하여 그 교육적 효과를 증대하고자 하였다. 이를 실증하기 위하여 컴퓨터기반으로 컨텐츠를 개발한 후, 로봇 컨텐츠로써의 활용을 위해 컨버팅하고 자동 로딩을 통한 학습자의 사진을 아바타와 합성시켰다. 실험 결과 자기노출기반 컨텐츠의 효과는 모든 집단의 경우에서 학습에 대한 집중도에는 긍정적인 영향을 주었으며, 학업성취도에는 유의미하지는 않지만 긍정적 효과를 가지는 것으로 나타났다. 이는 교육용 로봇을 활용한 자기노출 개념 적용에 대하여 긍정적인 결과라고 보여지는데, 보다 유의미한 결과를 얻기 위해서는 단순히 사진을 찍어 로딩시키는 증강가상보다는 얼굴검출을 통한 실시간 증강가상과 같이 증강가상 효과의 증대가 필요하다고 하겠다.

• The Journal of Korea Robotics Society
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• v.5 no.2
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• pp.93-101
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• 2010

This paper presents the system design and implementation of 'Mon-e', the KT's edutainment robot for young children. We paid our special attention to the computer- illiterate young children, and the provision of the physical and friendly human interface of robots. Specifically, the paper focuses on the video telephony and home monitoring service using the Mon-e robot. RFID cards -based calling makes it possible for the computer-illiterate children to make a phone call to their parents. The SIP and DTMF based remote control of the robot enables the search and track of the children. This experimental development shows the potentialities and values of the convergence service of telecommunication and robotics.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.65-68
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• 2006

본 논문은 일반적인 경로탐색기법의 사용으로 인한 단점들을 보완하며 공간적, 시간적, 안정성을 만족하는 효율적인 경로탐색기법인 IRCT기법을 소개하고, 이를 가정용 청소로봇에 적용한다. 기존의 경로탐색 기법인 A*알고리즘은 격자이동을 하여야만 하는 한계로 인하여 이동저리에 있어서 비효율적이고, 그에 따른 시간적 손실과 에너지의 손실 등이 따른다. IRCT 기법은 A*알고리즘에서 사용하는 격자이동에 대한 문제점을 장애물과 비장애물을 재 정의하여, 격자이동이 아닌 노드와 노드 사이를 이동함으로써 효율성과 안정성을 동시에 만족시킨다. 청소용 로봇에 IRCT기법을 적용하기 전 실험을 통하여 IRCT기법과 A*알고리즘을 비교함으로써, 두 기법사이의 인동거리와 시간적 효율성을 확인하고, IRCT기법의 안정성을 보인다.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.22-31
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• 2021

Coronavirus disease 2019 (COVID-19) is a new type of respiratory disease that has been announced as a pandemic. The COVID-19 outbreak has changed the way we live. It has also changed the food service industry. This study aimed to identify trends in the food and food service industry after the COVID-19 outbreak and suggest research themes induced by industry trends. This study investigated the industry and academic information on the food and food service industry and societal trends resulting from the COVID-19 outbreak. The most noticeable changes in the food industry include the explosive increase in home meal replacement, meal-kit consumption, online orders, take-out, and drive-through. The adoption of technologies, including robots and artificial intelligence, has also been noted. Such industry trends are discussed in this paper from a research perspective, including consumer, employee, and organizational strategy perspectives. This study reviews the changes in the food service industry after COVID-19 and the implications that these changes have rendered to academia. The paper concludes with future expectations that would come in the era of COVID-19.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1938-1943
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• 2005

Network human-robot interface is an important research topic. In home application, users access the robotic system directly via voice, gestures or through the network. Users explore a system by using the services provided by this system and to some extend users are enable to participate in a service as partners. A service may be provided by a robot, a group of robots or robots and other network connected systems (distributed sensors, information systems, etc). All these services are done in the network environment, where uncertainty such as the unstable network connection, the availability of the partners in a service, exists. Moreover, these services are controlled by several users, accessing at different time by different methods. Our research aimed at solving this problem to provide a high available level, flexible coordination system. In this paper, a multi-agent framework is proposed. This framework is validated by using our new concept of slave agents, a responsive multi-agent environment, a virtual directory facilitator (VDF), and a task allocation system using contract net protocol. Our system uses a mixed model between distributed and centralized model. It uses a centralized agent management system (AMS) to control the overall system. However, the partners and users may be distributed agents connected to the center through agent communication or centralized at the AMS container using the slave agents to represent the physical agents. The system is able to determine the task allocation for a group of robot working as a team to provide a service. A number of experiments have been conducted successfully in our lab environment using Issac robot, a PDA for user agent and a wireless network system, operated under our multi agent framework control. The experiments show that this framework works well and provides some advantages to existing systems.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.57-63
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• 2008

This study uses the identification which is one of the critical components of psychological mechanism and enables replacing one's own self because of the needs of self-expression(disclosure) and creation. The study aims to improve educational effects using the realistic by increasing sense of the virtual reality and the attention. After the computer-based contents were developed and converted to be applied into robot, and then the contents were combined the student's photo and the avatar using automatic loading. Finally each one of the contents was applied to the students. The results of the investigation indicated that there were significant effects of the contents based on identification. In other words, the contents effect on student's attention, but not their academic achievement. The study could find the effect of the identification's application using the educational robot. We suggested that improving technical ability of the augmented virtuality as a face-detection and sensitive interaction may lead to the specific suggestions for educational effects for further research.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.110-119
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• 2021

The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m².S^-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.