• 제목/요약/키워드: HRI (Human-Robot Interface)

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쇼핑 서비스 지원 로봇 개발을 위한 실체적인 Human Robot Interface 디자인 개발에 관한 연구 (A Study on the Practical Human Robot Interface Design for the Development of Shopping Service Support Robot)

  • 홍성수;허성철;김억;장영주
    • 디자인학연구
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    • 제19권4호
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    • pp.81-90
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    • 2006
  • 로봇디자인은 로봇이라는 첨단기술의 결정체와 인간을 연결하는 인터페이스 역할을 한다. 실용화 로봇기술의 성숙기에 접어들고 있는 현재 로봇에 대한 커다란 시장이 형성될 시점에서는 더욱 로봇디자인이 중요하게 될 것이다. 로봇이 인간과 같은 환경에서 살아가기 위해서는 인간 친화적인 인터페이스 디자인 기술과 기존의 로봇개념과는 다른 상호작용(interaction)을 고려한 로봇디자인이 개발되어져야 한다. 본 연구는 사례 연구 형식으로 쇼핑서비스지원 로봇을 대상으로 필요기능을 도출하고, HRI 디자인 요소에 대한 설계를 전개했다. 그리고 쇼핑서비스지원 로봇 디자인을 전개하였다. 특히, 제스처(Gesture), 표정(Expression), 사운드(Sound)의 HRI 디자인 요소 구성을 쇼핑서비스 로봇에 적용하여 구체적인 결과를 도출하였다. HRI 디자인에 대한 유효성 검증을 위해서 모션캡처, 애니메이션, 뇌파, 사운드 등이 통합된 인간과 로봇과의 구체적인 인터랙션을 제시하였다.

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Human-Friendly Interfaces of a Robot Manipulator Control System for Handicapped Person

  • Lim, Soo-chul;Lee, Kyoobin;Kwon, Dong-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.84.1-84
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    • 2002
  • A Human-Robot-Interface(HRI) for the disabled Person is developed. $\textbullet$ HRI consists of the laser pointer '||'&'||' USB camera and pressure sensor. $\textbullet$ HRI makes three degree of freedom. $\textbullet$ Three robot position control method with the Interface is presented. $\textbullet$ Experimental results show that user control the 6 DOF robot with the interface and control method.

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Brain-Computer Interface 기반 인간-로봇상호작용 플랫폼 (A Brain-Computer Interface Based Human-Robot Interaction Platform)

  • 윤중선
    • 한국산학기술학회논문지
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    • 제16권11호
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    • pp.7508-7512
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    • 2015
  • 뇌파로 의도를 접속하여 기계를 작동하는 뇌-기기 접속(Brain-Computer Interface, BCI) 기반의 인간-로봇상호작용(Human-Robot Interaction, HRI) 플랫폼을 제안한다. 사람의 뇌파로 의도를 포착하고 포착된 뇌파 신호에서 의도를 추출하거나 연관시키고 추출된 의도로 기기를 작동하게 하는 포착, 처리, 실행을 수행하는 플랫폼의 설계, 운용 및 구현 과정을 소개한다. 제안된 플랫폼의 구현 사례로 처리기에 구현된 상호작용 게임과 처리기를 통한 외부 장치 제어가 기술되었다. BCI 기반 플랫폼의 의도와 감지 사이의 신뢰성을 확보하기 위한 다양한 시도들을 소개한다. 제안된 플랫폼과 구현 사례는 BCI 기반의 새로운 기기 제어 작동 방식의 실현으로 확장될 것으로 기대된다.

휴먼/로봇 인터페이스 연구동향 분석 (Trends on Human/Robot Interface Research)

  • 임창주;임치환
    • 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.

상지 근력지원용 웨어러블 로봇을 위한 명령신호 생성 기법 개발 (Development of Command Signal Generating Method for Assistive Wearable Robot of the Human Upper Extremity)

  • 이희돈;유승남;이승훈;장재호;한정수;한창수
    • 제어로봇시스템학회논문지
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    • 제15권2호
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    • pp.176-183
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    • 2009
  • This paper proposes command signal generating method for a wearable robot using the force as the input signal. The basic concept of this system pursues the combination of the natural and sophisticated intelligence of human with the powerful motion capability of the robot. We define a task for the command signal generation to operate with the human body simultaneously, paying attention to comfort and ease of wear. In this study, we suggest a basic exoskeleton experimental system to evaluate a HRI(Human Robot Interface), selecting interfaces of arm braces on both wrists and a weight harness on the torso to connect the robot and human. We develop the HRI to provide a command for the robot motion. It connects between the human and the robot with the multi-axis load-cell, and it measures the relative force between the human and the robot. The control system calculates the trajectory of end-effector using this force signal. In this paper, we verify the performance of proposed system through the motion of elbow E/F(Extension/Flexion), the shoulder E/F and the shoulder Ab/Ad (Abduction/Adduction).

사용자 적응 인터페이스를 사용한 이동로봇의 원격제어 (Remote Control of a Mobile Robot Using Human Adaptive Interface)

  • 황창순;이상룡;박근영;이춘영
    • 제어로봇시스템학회논문지
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    • 제13권8호
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    • pp.777-782
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    • 2007
  • Human Robot Interaction(HRI) through a haptic interface plays an important role in controlling robot systems remotely. The augmented usage of bio-signals in the haptic interface is an emerging research area. To consider operator's state in HRI, we used bio-signals such as ECG and blood pressure in our proposed force reflection interface. The variation of operator's state is checked from the information processing of bio-signals. The statistical standard variation in the R-R intervals and blood pressure were used to adaptively adjust force reflection which is generated from environmental condition. To change the pattern of force reflection according to the state of the human operator is our main idea. A set of experiments show the promising results on our concepts of human adaptive interface.

캡스톤 디자인을 통한 3D Depth 센서 기반 HRI 시스템의 위치추정 알고리즘 연구 (A Study of Localization Algorithm of HRI System based on 3D Depth Sensor through Capstone Design)

  • 이동명
    • 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.