• Title/Summary/Keyword: head robot

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Development of a grinding robot system for the oil groove of the engine cylinder liner (실린더 라이너 오일그루브 가공 로봇 시스템 개발)

  • Noh, Tae-Yang;Lee, Yun-Sik;Jung, Chang-Wook;Lee, Ji-Hyung;Oh, Yong-Chul
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1075-1080
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    • 2008
  • An engine for marine propulsion and power generation consists of several cylinder liner-piston sets. And the oil groove is on the cylinder liner inside wall for the lubrication between a piston and cylinder. The machining process of oil groove has been carried by manual work so far, because of the diversity of the shape. Recently, we developed an automatic grinding robot system for oil groove machining of engine cylinder liners. It can covers various types of oil grooves and adjust its position by itself. The grinding robot system consists of a robot, a machining tool head, sensors and a control system. The robot automatically recognizes the cylinder liner's inside configuration by using a laser displacement sensor and a vision sensor after the cylinder liner is placed on a set-up equipment.

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Mechanism Design of the Interactive Emotional Robot (대화형 감성 로봇의 메커니즘 설계)

  • 김연훈;윤석준;이동연;곽윤근
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.233-238
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    • 2001
  • The mechanism design of the interactive emotional robot has been carried out. The two-wheeled inverted pendulum type mechanism was adopted to improve the mobility and make the innate clumsy monoaxial bicycle motion. Even though the system is unstable in itself, it is expected for the robot to move freely in a plane, keeping the upright position only with two wheels. Two motors attached on head can make 4 motion sets, and two motors on the wheels can make 8. Therefore, 32 independent motion sets can be achieved from the robot to communicate the emotions with humans. The motion's equation of the robot was derived based on nonholonomic dynamics, and the necessary power to the wheel's rotational axis was found by simulation.

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Research about Intelligent Snake Robot (지능형 뱀 로봇에 관한 연구)

  • Kim, Seong-Joo;Kim, Jong-Soo;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.1
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    • pp.70-75
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    • 2003
  • There come various types of robot with researches for mobile robot. This paper introduces the multi-joint snake robot having 16 degree of freedom and composing of eight-axis. The biological snake robot uses the forward movement friction and the proposed artificial snake robot uses the un-powered wheel instead of the body of snake. To determine the enable joint angle of each joint, the controller inputs are considered such as color and distance using PC Camera and ultra-sonic sensor module, respectively. The movement method of snake robot is sequential moving from head to tail through body. The target for movement direction is decided by a certain article be displayed in the PC Camera. In moving toward that target, if there is any obstacle then the snake robot can avoid by itself. In this paper, we show the method of snake robot for tracing the target with experiment.

Development of Humanoid Robot HUMIC and Reinforcement Learning-based Robot Behavior Intelligence using Gazebo Simulator (휴머노이드 로봇 HUMIC 개발 및 Gazebo 시뮬레이터를 이용한 강화학습 기반 로봇 행동 지능 연구)

  • Kim, Young-Gi;Han, Ji-Hyeong
    • The Journal of Korea Robotics Society
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    • v.16 no.3
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    • pp.260-269
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    • 2021
  • To verify performance or conduct experiments using actual robots, a lot of costs are needed such as robot hardware, experimental space, and time. Therefore, a simulation environment is an essential tool in robotics research. In this paper, we develop the HUMIC simulator using ROS and Gazebo. HUMIC is a humanoid robot, which is developed by HCIR Lab., for human-robot interaction and an upper body of HUMIC is similar to humans with a head, body, waist, arms, and hands. The Gazebo is an open-source three-dimensional robot simulator that provides the ability to simulate robots accurately and efficiently along with simulated indoor and outdoor environments. We develop a GUI for users to easily simulate and manipulate the HUMIC simulator. Moreover, we open the developed HUMIC simulator and GUI for other robotics researchers to use. We test the developed HUMIC simulator for object detection and reinforcement learning-based navigation tasks successfully. As a further study, we plan to develop robot behavior intelligence based on reinforcement learning algorithms using the developed simulator, and then apply it to the real robot.

Robot Posture Estimation Using Inner-Pipe Image

  • Sup, Yoon-Ji;Sok, Kang-E
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.173.1-173
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    • 2001
  • This paper proposes the methodology in image processing algorithm that estimates the pose of the pipe crawling robot. The pipe crawling robots are usually equipped with a lighting device and a camera on its head for monitoring and inspection purpose. The proposed methodology is using these devices without introducing the extra sensors and is based on the fact that the position and the intensity of the reflected light varies with the robot posture. The algorithm is divided into two parts, estimating the translation and rotation angle of the camera, followed by the actual pose estimation of the robot. To investigate the performance of the algorithm, the algorithm is applied to a sewage maintenance robot.

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Human-Sensitive Mot ion Interpretation of Emotional Robot "Rai" (감성 로봇 "라이"의 감성적 동작 구현)

  • 김연훈;이동연;김병수;곽윤근
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.327-332
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    • 2002
  • We made a human-sensitive motion interpretation to the interactive emotional robot, "Rai" of which the mechanism design was carried out and completed. Kinematic system of this emotional robot mainly consists of a body and a head. The body contains the total control units , the communicat ion modules and also two wheels and motors for main driving which make kinds of motions 1 ike the inverted pendulum. This robot system is designed under the concept on the human-friendly mot ion and react ion wi th humans around living room and office environments. Therefore, various scenarios are constructed in order to enable the emotional expressions at those places. Especially, we interpreted technically-possible motions while accommodating to the scenarios constructed. And we performed some experiments to make sere of the possibility of the motion interpretation.

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Stairs Walking of a Biped Robot (2족 보행 로봇의 계단 보행)

  • 성영휘;안희욱
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.1
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    • pp.46-52
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    • 2004
  • In this paper, we introduce a case study of developing a miniature humanoid robot which has 16 degrees of freedom, 42 cm heights, and 1.5kg weights. For easy implimentation, the integrated RC-servo motors are adopted as actuators and a digital camera is equipped on its head. So, it can transmit vision data to a remote host computer via wireless modem. The robot can perform staircase walking as well as straight walking and turning to any direction. The user-interface program running on the host computer contains a robot graphic simulator and a motion editor which are used to generate and verify the robot's walking motion. The experimental results show that the robot has various walking capability including straight walking, turning, and stairs walking.

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Recognition Performance of Vestibular-Ocular Reflex Based Vision Tracking System for Mobile Robot (이동 로봇을 위한 전정안반사 기반 비젼 추적 시스템의 인식 성능 평가)

  • Park, Jae-Hong;Bhan, Wook;Choi, Tae-Young;Kwon, Hyun-Il;Cho, Dong-Il;Kim, Kwang-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.496-504
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    • 2009
  • This paper presents a recognition performance of VOR (Vestibular-Ocular Reflex) based vision tracking system for mobile robot. The VOR is a reflex eye movement which, during head movements, produces an eye movement in the direction opposite to the head movement, thus maintaining the image of interested objects placed on the center of retina. We applied this physiological concept to the vision tracking system for high recognition performance in mobile environments. The proposed method was implemented in a vision tracking system consisting of a motion sensor module and an actuation module with vision sensor. We tested the developed system on an x/y stage and a rate table for linear motion and angular motion, respectively. The experimental results show that the recognition rates of the VOR-based method are three times more than non-VOR conventional vision system, which is mainly due to the fact that VOR-based vision tracking system has the line of sight of vision system to be fixed to the object, eventually reducing the blurring effect of images under the dynamic environment. It suggests that the VOR concept proposed in this paper can be applied efficiently to the vision tracking system for mobile robot.