• 대한인간공학회지
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• 제21권2호
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• pp.101-111
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• 2002

An intelligent robot, which has been developed recently, is no more a conventional robot widely known as an industrial robot. It is a computer system embedded in a machine and utilizes the machine as a medium not only for the communication between the human and the computer but also for the physical interaction among the human, the computer and their environment. Recent advances in computer technology have made it possible to create several of new types of human-computer interaction which are realized by utilizing intelligent machines. There is a continuing need for better understanding of how to design human/robot interface(HRI) to make for a more natural and efficient flow of information and feedback between robot systems and their users in both directions. In this paper, we explain the concept and the scope of HRI and review the current research trends of domestic and foreign HRL. The recommended research directions in the near future are also discussed based upon a comparative study of domestic and foreign HRI technology.

• 로봇학회논문지
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• 제12권1호
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• pp.55-64
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• 2017

This paper proposes combination of a cognitive agent architecture named Soar (State, operator, and result) and ROS (Robot Operating System), which can be a basic framework for a robot agent to interact and cope with its environment more intelligently and appropriately. The proposed Soar-ROS human-robot interaction (HRI) agent understands a set of human's commands by voice recognition and chooses to properly react to the command according to the symbol detected by image recognition, implemented on a humanoid robot. The robotic agent is allowed to refuse to follow an inappropriate command like "go" after it has seen the symbol 'X' which represents that an abnormal or immoral situation has occurred. This simple but meaningful HRI task is successfully experimented on the proposed Soar-ROS platform with a small humanoid robot, which implies that extending the present hybrid platform to artificial moral agent is possible.

• 제어로봇시스템학회논문지
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• 제14권2호
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• pp.178-183
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• 2008

Human motion analysis is researched as a new method for human-robot interaction (HRI) because it concerns with the key techniques of HRI such as motion tracking and pose recognition. To analysis human motion, extracting features of human body from sequential images plays an important role. After finding the silhouette of human body from the sequential images obtained by CCD color camera, the skeleton model is frequently used in order to represent the human motion. In this paper, using the silhouette of human body, we propose the feature extraction method based on hybrid skeleton for detecting human motion. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• 공학교육연구
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• 제19권6호
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• pp.49-56
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• 2016

The Human Robot Interface (HRI) based on 3D depth sensor on the docent robot is developed and the localization algorithm based on extended Kalman Filter (EKFLA) are proposed through the capstone design by graduate students in this paper. In addition to this, the performance of the proposed EKFLA is also analyzed. The developed HRI system consists of the route generation and localization algorithm, the user behavior pattern awareness algorithm, the map data generation and building algorithm, the obstacle detection and avoidance algorithm on the robot control modules that control the entire behaviors of the robot. It is confirmed that the improvement ratio of the localization error in EKFLA on the scenarios 1-3 is increased compared with the localization algorithm based on Kalman Filter (KFLA) as 21.96%, 25.81% and 15.03%, respectively.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 춘계학술대회 논문집
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• pp.39-40
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• 2012

• 전자통신동향분석
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• 제28권4호
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• pp.86-96
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• 2013

인간-로봇 상호작용 기술(HRI: Human-Robot Interaction Technology)은 로봇이 상호작용 상황과 사용자의 의도를 판단함으로써 상황에 적합한 반응과 행동을 계획하여 순조로운 의사소통 및 상호협력을 실행하게 하는 인식-판단-표현 연계 기술이다. HRI 기술은 인간의 지각, 인지, 표현 기능을 모사함으로써 로봇에 생명을 불어 넣는 로봇 핵심 기술로 개인서비스 로봇뿐 아니라 전문서비스 로봇 및 타 서비스 분야까지 폭넓게 적용될 수 있어 로봇융합산업 전반에 대한 파급력이 매우 큰 기술이다. 본고에서는 판단과 표현기술을 중심으로 HRI 기술의 국내외 기술 동향을 살펴보고 향후 HRI 기술이 나아가야 할 방향에 대해 기술한다.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1115-1121
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• 2009

For HRI (Human-Robot Interaction) in daily life, robots need to recognize non-rigid objects such as clothes and blankets. However, the recognition of non-rigid objects is challenging because of the variation of the shapes according to the places and laying manners. In this paper, the cognition of non-rigid object based on a cognitive system is presented. The characteristics of non-rigid objects are analysed in the view of HRI and referred to design a framework for the cognition of them. We adopt a linguistic cognitive system for describing all of the events happened to robots. When an event related to the non-rigid objects is occurred, the cognitive system describes the event into a sentential form and stores it at a sentential memory, and depicts the objects with a spatial model for being used as references. The cognitive system parses each sentence syntactically and semantically, in which the nouns meaning objects are connected to their models. For answering the questions of humans, sentences are retrieved by searching temporal information in the sentential memory and by spatial reasoning in a schematic imagery. Experiments show the feasibility of the cognitive system for cognizing non-rigid objects in HRI.

• 디지털콘텐츠학회 논문지
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• 제17권6호
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• pp.531-536
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• 2016

이 연구에서는 인간과로봇상호작용(HRI)에서 유아들을 대상으로 로봇을 활용한 증강현실 극놀이 실험을 통하여 아동들이 느끼는 상호작용 분석을 제시하고자 한다. 기존의 극놀이 로봇콘텐츠를 아동들이 상호작용하기에 편하도록 QR 마커의 단점을 개선하여 개발하였다. 또한 로봇을 활용한 증강현실 극놀이에 대해서 로봇 극놀이에 대한 흥미, 로봇분장의 적절성, 로봇이 똑똑해 보이는 정도, 극놀이에 몰입감에 대한 아동의 반응을 분석하여 보았다. 나이가 어릴수록 재미가 높고, 로봇이 똑똑하다고 생각하였고 로봇 사용경험이 없는 아이들이 상대적 흥미가 높고, 로봇분장에 대해서는 로봇사용 경험 있는 아이들이 차이를 인지하는 것으로 나타났다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.171.4-171
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• 2001

This paper proposes a method of human- robot interaction (HRI) using face directional gesture. A single CCD color camera is used to input face region, and the robot recognizes the face directional gesture based on the facial feature´s positions. One can give a command such as stop, go, left and right turn to the robot using the face directional gesture. Since the robot also has the ultra sonic sensors, it can detect obstacles and determine a safe direction at the current position. By combining the user´s command with the sensed obstacle configuration, the robot selects the safe and efficient motion direction. From simulation results, we show that the robot with HRI is more reliable for the robot´s navigation.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.7-12
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• 2008

사람과 로봇의 인터랙션에 있어 정서의 역할은 중요하다. 그러므로 사람과 유사한 정서 메커니즘이 로봇에게 필요하다. 본 논문에서는 사람의 정서에 대한 심리적 연구를 바탕으로 사람의 내적 요소에 기반한 새로운 인공 정서 표현 시스템을 제안한다. 제안된 시스템은 external stimulus, emotion, mood, personality, tendency, machine rhythm 의 6가지 정보 요소를 활용하며, 각 요소들은 그들의 특성에 따라 결과적으로 emotion 표현 패턴의 변화에 영향을 준다. 그 결과 통일한 외부 자극들은 내적 상태에 따라 emotion의 변화를 만들어 낸다. 제안된 시스템은 사람과 로봇의 자연스러운 인터랙션을 유지하고, 친밀한 관계를 형성할 수 있도록 도움을 줄 것이다.