• Title/Summary/Keyword: Human-Robot Interaction (HRI)

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Hole Identification Method Based on Template Matching for Ear Pins Insertion Automation System (이어핀 삽입 자동화 시스템을 위한 템플릿 매칭 기반 홀 판별 방법)

  • Baek, Jonghwan;Lee, Jaeyoul;Jung, Myungsoo;Jang, Minwoo;Shin, Dongho;Seo, Kapho;Hong, Sungho
    • Annual Conference of KIPS
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    • 2020.05a
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    • pp.330-333
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    • 2020
  • 장신구 산업은 인건비의 비중이 높고 노동자의 역량에 따라 제품의 제작 작업 시간 및 품질의 편차가 심하다. 이에 산업계의 수요에 맞추어 실리콘 금형 표면 지름 0.75mm 홀에 이어핀을 삽입하는 공정을 자동화하기 위하여 삽입 자동화 시스템이 개발되고 있다. 본 논문에서는 이어핀 삽입 자동화시스템에서 적용할 수 있는 템플릿 매칭 방법과 관심 영역 레이블링을 통한 홀 판별 방법을 제안한다. 제안한 방법의 안정성을 확보하기 위하여 실험을 통해 최적의 매칭 방법과 이진화 기법을 적용하였으며 이어핀 홀의 좌표를 확보하여 X-Y 정밀 이송 시스템에 적용할 수 있다.

POMDP-based Human-Robot Interaction Behavior Model (POMDP 기반 사용자-로봇 인터랙션 행동 모델)

  • Kim, Jong-Cheol
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.6
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    • pp.599-605
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    • 2014
  • This paper presents the interactive behavior modeling method based on POMDP (Partially Observable Markov Decision Process) for HRI (Human-Robot Interaction). HRI seems similar to conversational interaction in point of interaction between human and a robot. The POMDP has been popularly used in conversational interaction system. The POMDP can efficiently handle uncertainty of observable variables in conversational interaction system. In this paper, the input variables of the proposed conversational HRI system in POMDP are the input information of sensors and the log of used service. The output variables of system are the name of robot behaviors. The robot behavior presents the motion occurred from LED, LCD, Motor, sound. The suggested conversational POMDP-based HRI system was applied to an emotional robot KIBOT. In the result of human-KIBOT interaction, this system shows the flexible robot behavior in real world.

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

  • Hong Seong-Soo;Heo Seong-Cheol;Kim Eok;Chang Young-Ju
    • Archives of design research
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    • v.19 no.4 s.66
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    • pp.81-90
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    • 2006
  • Robot design serves as the crucial link between a human and a robot, the cutting edge technology. The importance of the robot design certainly will be more emphasized when the consumer robot market matures. For coexistence of a human and a robot, human friendly interface design and robot design with consideration of human interaction need to be developed. This research extracts series of functions in need which are consisted of series of case studies for planning and designing of 'A Shopping Support Robot'. The plan for the robot is carried out according to HRI aspects of Design and the designing process fellows. Definite results are derived by the application of series of HRI aspects such as gestures, expressions and sound. In order to verify the effectiveness of application of HRI aspects, this research suggests unified interaction that is consisted of motion-capture, animation, brain waves and sound between a human and a robot.

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Errors in Human-Robot Interaction Accidents: A Taxonomy and Network Analysis

  • Brian H.W. GUO;Yonger ZUO;Yang Miang Goh;Jae-Yong Lim
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.1088-1095
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    • 2024
  • To enhance the investigation, analysis, and design of safe human-robot interactions (HRI), this study develops a comprehensive taxonomy of safety-related errors in HRI and examines the relationships between errors and the types and levels of HRI. Analyzing 262 HRI accident case reports, the research identifies and categorizes human and robot errors through qualitative analysis. The resulting taxonomy divides human errors into procedure, intrusion, operation, and situation awareness errors, and robot errors into system and safeguarding failures, operational errors, and design flaws. A network of human and robot errors was developed by applying Gephi to represent the human-robot error interactions. The results indicated that "misjudgment of the robot's operational status," "inadvertent activation of the robot," "working within an energized robotic cell without adequate safety measures," and "failure to deenergize/stop the robot" are among those most frequently linked to robot errors. "Inadequate lockout/tagout" and "absence of human detection and protective stop functions" stand out as the most frequent human-robot error interaction.

A Study on the Ultra-wideband-based Positioning Algorithm for Drone Position Calculation (드론 위치 추정을 위한 초광대역 기반 측위 알고리즘 연구)

  • Shin, Dongho;Hong, Sungho;Kim, Sangho;Lee, Jaeyoul;Seo, Kapho;Seo, Jinho;Kim, Sanghoon
    • Annual Conference of KIPS
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    • 2021.05a
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    • pp.263-266
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    • 2021
  • 근래의 드론 산업은 다양한 분야에서 사용이 확대되고 있으나 규제 등 여러 가지 사회적 진입장벽으로 시장 진입에 애로사항이 도출되고 있다. 본 논문에서는 드론 산업의 여러 제약 중 배터리의 제한적인 용량으로 장시간 비행이 어려운 문제를 개선하고자 승강식 드론스테이션을 개발하였다. 승강식 드론스테이션은 드론의 비행 중 배터리가 방전될 시 충전 및 정비를 할 수 있고, 드론 간의 통신 중계기 역할을 수행한다. 본 논문에서는 스테이션에 드론이 접근 시 슬라이딩 도어를 개폐하기 위하여 초광대역 통신을 이용한 거리 측정과 위치 인식 시스템에 대한 내용을 기술하였다.

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

  • Yoon, Joongsun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7508-7512
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    • 2015
  • We propose a brain-machine interface(BMI) based human-robot interaction(HRI) platform which operates machines by interfacing intentions by capturing brain waves. Platform consists of capture, processing/mapping, and action parts. A noninvasive brain wave sensor, PC, and robot-avatar/LED/motor are selected as capture, processing/mapping, and action part(s), respectively. Various investigations to ensure the relations between intentions and brainwave sensing have been explored. Case studies-an interactive game, on-off controls of LED(s), and motor control(s) are presented to show the design and implementation process of new BMI based HRI platform.

Performance Evaluation of Human Robot Interaction Components in Real Environments (실 환경에서의 인간로봇상호작용 컴포넌트의 성능평가)

  • Kim, Do-Hyung;Kim, Hye-Jin;Bae, Kyung-Sook;Yun, Woo-Han;Ban, Kyu-Dae;Park, Beom-Chul;Yoon, Ho-Sub
    • The Journal of Korea Robotics Society
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    • v.3 no.3
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    • pp.165-175
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    • 2008
  • For an advanced intelligent service, the need of HRI technology has recently been increasing and the technology has been also improved. However, HRI components have been evaluated under stable and controlled laboratory environments and there are no evaluation results of performance in real environments. Therefore, robot service providers and users have not been getting sufficient information on the level of current HRI technology. In this paper, we provide the evaluation results of the performance of the HRI components on the robot platforms providing actual services in pilot service sites. For the evaluation, we select face detection component, speaker gender classification component and sound localization component as representative HRI components closing to the commercialization. The goal of this paper is to provide valuable information and reference performance on appling the HRI components to real robot environments.

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Sound-based Emotion Estimation and Growing HRI System for an Edutainment Robot (에듀테인먼트 로봇을 위한 소리기반 사용자 감성추정과 성장형 감성 HRI시스템)

  • Kim, Jong-Cheol;Park, Kui-Hong
    • The Journal of Korea Robotics Society
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    • v.5 no.1
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    • pp.7-13
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    • 2010
  • This paper presents the sound-based emotion estimation method and the growing HRI (human-robot interaction) system for a Mon-E robot. The method of emotion estimation uses the musical element based on the law of harmony and counterpoint. The emotion is estimated from sound using the information of musical elements which include chord, tempo, volume, harmonic and compass. In this paper, the estimated emotions display the standard 12 emotions including Eckman's 6 emotions (anger, disgust, fear, happiness, sadness, surprise) and the opposite 6 emotions (calmness, love, confidence, unhappiness, gladness, comfortableness) of those. The growing HRI system analyzes sensing information, estimated emotion and service log in an edutainment robot. So, it commands the behavior of the robot. The growing HRI system consists of the emotion client and the emotion server. The emotion client estimates the emotion from sound. This client not only transmits the estimated emotion and sensing information to the emotion server but also delivers response coming from the emotion server to the main program of the robot. The emotion server not only updates the rule table of HRI using information transmitted from the emotion client and but also transmits the response of the HRI to the emotion client. The proposed system was applied to a Mon-E robot and can supply friendly HRI service to users.