• Title/Summary/Keyword: Grasping Control

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Hand Haptic Interface for Intuitive 3D Interaction (직관적인 3D 인터랙션을 위한 핸드 햅틱 인터페이스)

  • Jang, Yong-Seok;Kim, Yong-Wan;Son, Wook-Ho;Kim, Kyung-Hwan
    • Journal of the HCI Society of Korea
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    • v.2 no.2
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    • pp.53-59
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    • 2007
  • Several researches in 3D interaction have identified and extensively studied the four basic interaction tasks for 3D/VE applications, namely, navigation, selection, manipulation and system control. These interaction schemes in the real world or VE are generally suitable for interacting with small graspable objects. In some applications, it is important to duplicate real world behavior. For example, a training system for a manual assembly task and usability verification system benefits from a realistic system for object grasping and manipulation. However, it is not appropriate to instantly apply these interaction technologies to such applications, because the quality of simulated grasping and manipulation has been limited. Therefore, we introduce the intuitive and natural 3D interaction haptic interface supporting high-precision hand operations and realistic haptic feedback.

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A Study on the Control System of Myoelectric Hand Prosthesis (근전의수의 제어시스템에 관한 연구)

  • Choi, Gi-Won;Chu, Jun-Uk;Choe, Gyu-Ha
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.1
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    • pp.214-221
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    • 2007
  • This paper presents a myoelectric hand prosthesis(MHP) with two degree of freedom(2-DOF), which consists of a mechanical hand, a surface myoelectric sensor(SMES) for measuring myoelectric signal, a control system and a charging battery. The actuation for the 2-DOF hand functions such as grasping and wrist rotation was performed by two DC-motors, and controlled by myoelectric signal measured from the residual forearm muscle. The grip force of the MHP was automatically changed by a mechanical automatic speed reducer mounted on the hand. The skin interface of SMES was composed of the electrodes using the SUS440 metal in order to endure a wet condition due to the sweat. The sensor was embedded with a amplifier and a filter circuit for rejecting the offset voltage caused by power line noises. The control system was composed of the grip force sensor, the slip sensor, and the two controllers. The two controllers were made of a RISC-type microprocessor, and its software was executed on a real-time kernel. The control system used Force Sensing Resistors, FSR, as slip pick-ups at the fingertip of a thumb and the grip force information was obtained from a strain-gauge on the lever of the MHP. The experimental results were showed that the proposed control system is feasible for the MHP.

Direct Teaching and Playback Algorithm for Peg-in-Hole Task using Impedance Control (펙인홀 작업을 위한 임피던스 제어 기반의 직접교시 및 재현 알고리즘)

  • Kim, Hyun-Joong;Back, Ju-Hoon;Song, Jae-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.538-542
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    • 2009
  • Industrial manipulators have been mostly used in large companies such as automakers and electronics companies. In recent years, however, demands for industrial manipulators from small and medium-sized enterprises are on the increase because of shortage of manpower and high wages. Since these companies cannot hire robot engineers for operation and programming of a robot, intuitive teaching and playback techniques of a robot manipulator should replace the robot programming which requires substantial knowledge of a robot. This paper proposes an intuitive teaching and playback algorithm used in assembly tasks. An operator can directly teach the robot by grasping the end-effector and moving it to the desired point in the teaching phase. The 6 axis force/torque sensor attached to the manipulator end-effector is used to sense the human intention in teaching the robot. After this teaching phase, a robot can track the target position or trajectory accurately in the playback phase. When the robot contacts the environment during the teaching and playback phases, impedance control is conducted to make the contact task stable. Peg-in-hole experiments are selected to validate the proposed algorithm since this task can describe the important features of various assembly tasks which require both accurate position and force control. It is shown that the proposed teaching and playback algorithm provides high positioning accuracy and stable contact tasks.

Character Writing Using Multi-Fingered Hands : Grasp Modeling and Compliance Analysis (다지 손을 이용한 문자 쓰기 : 파지 모델링 및 컴플라이언스 특성 해석)

  • Kim, Byoung-Ho;Yeo, Hee-Joo
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.11
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    • pp.927-932
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    • 2001
  • When people write a character with a pen stably, proper compliance planning is necessary. In this paper, after investigating the property of character writing task, we propose a fundamental grasp model for character writing and also analyze compliance characteristics for effective character writing using multi-fingered hands. For this, the general stiffness relation of multi-fingered hand is firstly described. Next, we investigate the grasp configurations for grasping a pen and then, we analyze the conditions of the specified stiffness matrix in the operational space to successfully and more effectively achieve the given character writing task. Through the analysis, an effective grasp modeling for successful character writing is shown. And also, we conclude that the operational compliance characteristics should be properly planned for character writing, stably and precisely.

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A study on The GPS Survey Utilizing In Control Point Surveying (기준점 측량에서 GPS측량 활용에 관한 연구)

  • Chung, Young-Dong;Ko, Jae-Woong;Kim, Jin-Ki
    • Journal of Korean Society for Geospatial Information Science
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    • v.2 no.2 s.4
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    • pp.117-124
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    • 1994
  • This paper aims at inspecting the reliability of GPS data, changing WGS 84 data into the longitude coordinates system after surveying a small number of geodetic survey or cadastre triangulation point and supplementry control point around the Kwang-Ju area, and grasping the several problems posed by introducing GPS to the cadastue or the general triangulation surveying from this time.

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A Study on Characteristics of Knocking in Gasoline Engine through ECU Control (ECU 제어를 통한 가솔린 엔진의 노킹 특성에 관한 연구)

  • Yang, Hyun-Soo;Lim, Ju-Hun;Chun, Dong-Jun
    • Journal of the Korea Safety Management & Science
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    • v.10 no.3
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    • pp.109-115
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    • 2008
  • A burning principle in gasoline engine is the one of being burned, by which a mixer in air and gasoline enters a combustion chamber and causes a spark in the proper timing. This is formed, by which ECU controls the fuel-injection volume and the fuel-injection timing, and determines the performance of engine. The purpose of this study is to test the characteristics on knocking in gasoline engine with the knocking-sensor equipment and to research into the characteristics in knocking while directly controling the optimal igniting timing and the fuel-injection timing through engine ECU. Given controlling ECU by grasping the characteristics in knocking, which becomes the most problem in the engine tuning market, the tuning in a true sense will be formed in gasoline engine.

Development of a Robot arm capable of recognizing 3-D object using stereo vision

  • Kim, Sungjin;Park, Seungjun;Park, Hongphyo;Sangchul Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.128.6-128
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    • 2001
  • In this paper, we present a methodology of sensing and control for a robot system designed to be capable of grasping an object and moving it to target point Stereo vision system is employed to determine to depth map which represents the distance from the camera. In stereo vision system we have used a center-referenced projection to represent the discrete match space for stereo correspondence. This center-referenced disparity space contains new occlusion points in addition to the match points which we exploit to create a concise representation of correspondence an occlusion. And from the depth map we find the target object´s pose and position in 3-D space. To find the target object´s pose and position, we use the method of the model-based recognition.

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A Study on Stable Grasping Control of Dual-Fingers with Soft-Tips

  • Sim, Jae-Goon;Yang, Soon-Yong;Han, Hyun-Yong;Lee, Byung-Ryon;Ahn, kyung-Kwan;Kim, Sung-Su;Park, Kyung-Taek
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.108.4-108
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    • 2002
  • This paper aims to derive a mathematical model of the dynamics of handling tasks in robot fingers which stably grasps and manipulates a rigid object with some dexterity. Firstly, a set of differential equation describing dynamics of the manipulators and object together with geometric constraint of tight area-contacts is formulated by Lagrange's equation. Secondly, problems of controlling both the internal force and the rotation angle of the grasped object under the constraints of tight area-contacts are discussed. The effect of geometric constraints of area-contacts on motion of the overall system is analyzed and a method of computer simulation for differential-algebraic equations of overall...

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Study of Dynamic Analysis and Optimization for Control of Two Robots Simultaneously Grasping a Rigid Body Object (강체를 함께 쥔 두 대 로봇의 제어를 위한 동력학적 해석과 최적화 방안 연구)

  • 고진환;송문상;유범상;박상민
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.507-512
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    • 1997
  • This paper presents a method of finding optitnal joint torques of two robots when they hold an object simultaneously. Although the importance of the multiple cooperating robot system increases for more flcviblc ni;mufacturing automation, dynamic solutions to multi-robot system forming closcd kinematic chain is not easy to find. Newton-Eulcr approach is used for the dynamic formulation of two robots fonn~ng closcd kincmatic chains gmsping a rigid body object. The nrcthodology to optimize the joint torques to satisfy given criterta and obtain bettcr control of the system is discussed. The scheme is illustrated by an example.

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Visual Servoing of Robot Manipulators using Pruned Recurrent Neural Networks (저차원화된 리커런트 뉴럴 네트워크를 이용한 비주얼 서보잉)

  • 김대준;이동욱;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.259-262
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    • 1997
  • This paper presents a visual servoing of RV-M2 robot manipulators to track and grasp moving object, using pruned dynamic recurrent neural networks(DRNN). The object is stationary in the robot work space and the robot is tracking and grasping the object by using CCD camera mounted on the end-effector. In order to optimize the structure of DRNN, we decide the node whether delete or add, by mutation probability, first in case of delete node, the node which have minimum sum of input weight is actually deleted, and then in case of add node, the weight is connected according to the number of case which added node can reach the other nodes. Using evolutionary programming(EP) that search the struture and weight of the DRNN, and evolution strategies(ES) which train the weight of neuron, we pruned the net structure of DRNN. We applied the DRNN to the Visual Servoing of a robot manipulators to control position and orientation of end-effector, and the validity and effectiveness of the pro osed control scheme will be verified by computer simulations.

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