• 제목/요약/키워드: Human robot

검색결과 1,373건 처리시간 0.039초

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

  • 백종환;이재열;정명수;장민우;신동호;서갑호;홍성호
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2020년도 춘계학술발표대회
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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.

근전도센서를 이용한 ROS기반의 산업용 로봇 원격제어 (Teleoperation Control of ROS-based Industrial Robot Using EMG Signals)

  • 전세윤;박범용
    • 대한임베디드공학회논문지
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    • 제15권2호
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    • pp.87-94
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    • 2020
  • This paper introduces a method to control an industrial robot arm to imitate the movement of the human arm and hand using electromyography (EMG) signals. The proposed method is implemented on the UR3 robot that is a popular industrial robot and a MYO armband that measure the EMG signals generated by human muscles. The communications for the UR3 robot and the MYO armband are integrated in the robot operating system (ROS) that is a middle-ware to develop robot systems easily. The movement of the human arm and hand is detected by the MYO armband, which is utilized to recognize and to estimate the speed of the movement of the operator's arm and the motion of the operator's hand. The proposed system can be easily used when human's detailed movement is required in the environment where human can't work. An experiments have been conducted to verify the performance of the proposed method using the teleoperation of the UR3 robot.

Novel Ubiquitous Concept of Real Reality Robot Game Controlled by Mobile Server Robot

  • Joo, Byoung-Kyu;Jeon, Poong-Woo;Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2481-2485
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    • 2003
  • In this paper novel concept of real reality robot game controlled by a mobile server robot is proposed. Real reality robot game means that two real robots controlled by two human operator through the internet are playing a boxing game. The mobile server robot captures playing images of the boxing game and send them to GUI on the screen of human operators’ PC. The human operator can login to boxing game from any computer in any place if he/she is permitted. Remote control of boxing robot by a motion capture system through network is implemented. Successful motion control of a boxing robot remotely controlled by a motion capture system through network can be achieved.

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Analysis of Kinematic Mapping Between an Exoskeleton Master Robot and a Human Like Slave Robot With Two Arms

  • Song, Deok-Hee;Lee, Woon-Kyu;Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2154-2159
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    • 2005
  • This paper presents the kinematic analysis of two robots, an exoskeleton type master robot and a human like slave robot with two arms. Two robots are designed and built to be equivalent as motion following robots. The operator wears the exoskeleton robot to generate motions, then the slave robot is required to follow after the motion of the master robot. However, different kinematic configuration yields position mismatches of the end-effectors. To synchronize motions of two robots, kinematic analysis of mapping is analyzed. The forward and inverse kinematics have been simulated and the corresponding experiments are also conducted to confirm the proposed mapping analysis.

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인간행동제약을 위한 레이저파인더 기반의 로봇주행제어 (Robot Navigation Control using Laserscanner to Restrict Human Movement)

  • 진태석
    • 한국정보통신학회논문지
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    • 제17권5호
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    • pp.1070-1075
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    • 2013
  • 본 논문에서는 실내 보안지역내의 인간 출입을 통제하기위해 보안로봇을 이용한 출입통제 기능을 수행한 시스템 및 연구결과를 제시하고 있다. 제안된 로봇은 환경인식을 위한 레이저파인더를 탑재하고 보안지역을 상시 관찰을 수행하며 출입금지 구역에 인간을 출입이나 진행을 감지했을 때, 로봇이 인간의 속도벡터를 계산 및 주행할 경로를 계획하고 인간의 진행방향을 차단할 수 있도록 예측된 경로를 따라 주행을 하게 된다. 이때, 인간의 움직임은 포인터 물체로 간주하였으며 로봇의 기구학에 기반하여 인간의 위치를 추정한다. 실내에서 계속적인 환경변화에 대해 로봇은 감시기능 수행하게 된다. 통제구역에 대한 진입을 인식하게 되면 인간의 움직임의 반대방향으로 주행하여 진입차단 기법을 제시한다. 제안된 연구결과를 검정하기위해 로봇을 이용한 위치추정 및 추적 실험결과를 제시하였다.

Human-oriented programming technology for articulated robots using a force/torque sensor

  • Kang, Hyo-Sig;Park, Jong-Oh;Baek, Yoon-Su
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.96-99
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    • 1992
  • Currently, there are various robot programming methods for articulated robots. Although each method has merits and drawbacks, they have commonly weak points for practical application, and especially the weak point can be even more vulnerable when the robot programming requires the subtle feelings of human being. This is because the movement of a human being is synthetic while the robot programming is analytic. Therefore, the present method of programming has limits in performing these kinds of subtle robot movement. In this paper, we propose a direct robot programming method, which generates robot programs based on the force/torque vector applied to a force/torque sensor by the human operator. The method reduces the effort required in the robot programming.

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로봇의 인간과 유사한 행동을 위한 2차원 무드 모델 제안 (Proposal of 2D Mood Model for Human-like Behaviors of Robot)

  • 김원화;박정우;김우현;이원형;정명진
    • 로봇학회논문지
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    • 제5권3호
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    • pp.224-230
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    • 2010
  • As robots are no longer just working labors in the industrial fields, but stepping into the human's daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, emotion generation of a robot has become necessary, which is a result of very complicated process. Concept of mood has been considered in psychology society as a factor that effects on emotion generation, which is similar to emotion but not the same. In this paper, mood factors for robot considering not only the conditions of the robot itself but also the circumstances of the robot are listed, chosen and finally considered as elements defining a 2-dimensional mood space. Moreover, architecture that combines the proposed mood model and a emotion generation module is given at the end.

TRT Pose를 이용한 모바일 로봇의 사람 추종 기법 (Development of Human Following Method of Mobile Robot Using TRT Pose)

  • 최준현;주경진;윤상석;김종욱
    • 대한임베디드공학회논문지
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    • 제15권6호
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    • pp.281-287
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    • 2020
  • In this paper, we propose a method for estimating a walking direction by which a mobile robots follows a person using TRT (Tensor RT) pose, which is motion recognition based on deep learning. Mobile robots can measure individual movements by recognizing key points on the person's pelvis and determine the direction in which the person tries to move. Using these information and the distance between robot and human, the mobile robot can follow the person stably keeping a safe distance from people. The TRT Pose only extracts key point information to prevent privacy issues while a camera in the mobile robot records video. To validate the proposed technology, experiment is carried out successfully where human walks away or toward the mobile robot in zigzag form and the robot continuously follows human with prescribed distance.

Human Robot Interaction via Intelligent Space

  • Hideki Hashimoto;Lee, Joo-Ho;Kazuyuki Morioka
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.49.1-49
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    • 2002
  • $\textbullet$ Intelligent Space 1. Optimal Camera Arrangement 2. People Tracking 3. Physical Robot 4. Robot Control 5. People Following Robot $\textbullet$ Initial stage for making high-level human robot interaction. http://dfs.iis.u-tokyo.ac.jp/∼leejooho/ispace/.

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휴먼-로봇 인터액션을 위한 하이브리드 스켈레톤 특징점 추출 (Feature Extraction Based on Hybrid Skeleton for Human-Robot Interaction)

  • 주영훈;소제윤
    • 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.