• 제목/요약/키워드: Robot's Finger

검색결과 46건 처리시간 0.02초

미지물체를 안전하게 잡기 위한 6축 로봇손가락 힘/모멘트센서의 개발 (Development of a 6-axis Robot's Finger Force/Moment Sensor for Stably Grasping an Unknown Object)

  • 김갑순
    • 한국정밀공학회지
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    • 제20권7호
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    • pp.105-113
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    • 2003
  • This paper describes the development of a 6-axis robot's finger force/moment sensor, which measures forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously, for stably grasping an unknown object. In order to safely grasp an unknown object using the robot's gripper, it should measure the force in the gripping direction and the force in the gravity direction, and perform the force control using the measured forces. Thus, the robot's gripper should be composed of 6-axis robot's finger force/moment sensor that can measure forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously. In this paper, the 6-axis robot's finger force/moment sensor for measuring forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously was newly modeled using several parallel-plate beams, designed, and fabricated. The characteristic test of made sensor was performed. and the result shows that interference errors of the developed sensor are less than 3%. Also, Robot's gripper with the 6-axis robot's finger force/moment sensor for the characteristic test of force control was manufactured, and the characteristic test for grasping an unknown object was performed using it. The fabricated gripper could grasp an unknown object stably. Thus, the developed 6-axis robot's finger force/moment sensor may be used for robot's gripper.

로봇의 그리퍼 제작을 위한 6 축 로봇손가락 힘/모멘트센서의 개발 (Development of a 6-axis robot's finger force/moment sensor for making a robot's gripper)

  • 김갑순;이헌두;박인철;손영훈
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.758-763
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    • 2003
  • This paper describes the development of a 6-axis robot's finger force/moment sensor, which measures forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously, for making a robot's gripper. In order to safely grasp and unknown object using the robot's gripper, it should measure the force in the gripping direction and the force in the gravity direction, and perform the force control using the measured forces. Thus, the robot's gripper should be composed of 6-axis robot's finger force/moment sensor that can measure forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously. In this paper, the 6-axis robot's finger force/moment sensor for measuring forces Fx, Fy, Fz, and moments Mx, My, Mz simultaneously was newly modeled using several parallel-plate beams, designed, and fabricated. The characteristic test of made sensor was performed. Also, Robot's gripper with the 6-axis robot's finger force/moment sensor for the characteristic test of force control was manufactured, and the characteristic test for grasping an unknown object was performed using it.

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뇌졸중환자를 위한 직교형 4개 손가락 재활로봇 기구설계 (Design of Rectangular-Type Four-Finger Rehabilitation Robot for Stroke Patient)

  • 김현민;김갑순
    • 제어로봇시스템학회논문지
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    • 제19권5호
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    • pp.473-480
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    • 2013
  • This paper describes the design of a rectangular-type four-finger rehabilitation robot for flexibility rehabilitation of stroke patients' fingers and other patient's paralyzed fingers. The four-finger rehabilitation robot is composed of a body and each finger rehabilitation robot instrument. The four-finger rehabilitation robot could exercise four fingers (forefinger, middle finger ring finger and little finger) of patient for their rehabilitation. The four-finger rehabilitation robot instruments move according to the trace which spread out the patient's fingers and then turn them inward for the fingers' flexibility, while at the same time performing the force control with the reference forces for fingers' safety, simultaneously. A control characteristic test of the developed rectangular-type four-finger rehabilitation robot was carried out, and the results confirmed that the robot could be used for the flexibility rehabilitation exercise for the fingers of normal person and patients.

3축 손가락 힘센서를 가진 지능로봇의 지능형 로봇손 개발 (Development of Intelligent Robot's Hand with Three-Axis Finger Force Sensors for Intelligent Robot)

  • 김갑순;신희준
    • 제어로봇시스템학회논문지
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    • 제15권3호
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    • pp.300-305
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    • 2009
  • This paper describes the intelligent robot's hand with three-axis finger force sensors for an intelligent robot. In order to grasp an unknown object safely, it should measure the mass of the object, and determine the grasping force using the mass, then control the robot's fingers with the grasping force. In this paper, the intelligent robot's hand for an intelligent robot was developed. First, the three-axis finger force sensors were designed and manufactured, second, the intelligent robot's hand with three-axis finger force sensors were designed and fabricated, third, the high-speed control system was designed and manufactured using DSP( digital signal processor), finally, the characteristic test to grasp an unknown object safely was carried out. It was confirmed that the developed intelligent robot's hand could grasp an unknown object safely.

Development of a 6-axis robot′s finger force/moment sensor for stable grasping of an unknown object

  • Kim, Gab-Soon
    • International Journal of Precision Engineering and Manufacturing
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    • 제5권3호
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    • pp.54-61
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    • 2004
  • This paper describes the development of a 6-axis robot's finger force/moment sensor, which measures forces $F_x$(x-direction force), $F_y$and $F_z$, and moments $M_x$ (x-direction moment), $M_y$ and $M_z$ simultaneously, for stable grasping of an unknown object. In order to safely grasp an unknown object using the robot's gripper, the force in the gripping direction and the force in the gravity direction should be measured, and the force control should be performed using the measured forces. Also, the moments $M_x$, $M_y$ and $M_z$ to accurately perceive the position of the object in the grippers should be detected. Thus, the robot's gripper should be composed of 6-axis robot's finger force/moment sensor that can measure forces $F_x$, $F_y$ and $F_z$, and moments $M_x$ $M_y$ and $M_z$ simultaneously. In this paper, the 6-axis robot's finger force/moment sensor for measuring forces $F_x$, $F_y$ and $F_z$, and moments $M_x$ $M_y$ and $M_z$ simultaneously was newly modeled using several parallel-plate beams, designed, and fabricated. The characteristic test of the fabricated sensor was performed, and the result shows that interference errors of the developed sensor are less than 3%. Also, Robot's gripper with the 6-axis robot's finger force/moment sensor for the characteristic test of force control was manufactured, and the characteristic test for grasping an unknown object using the sensors was performed using it. The fabricated gripper could grasp an unknown object stably. Thus, the developed 6-axis robot's finger force/moment sensor can be used for robot's gripper.

미지물체를 잡기 위한 로봇 손가락의 3축 힘감지센서 설계 및 제작 (Design and fabrication of robot′s finger 3-axis force sensor for grasping an unknown object)

  • 김갑순
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.229-232
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    • 2002
  • This paper describes the development of robot's finger 3-axis force sensor that detects the Fx, Fy, and Fz simultaneously fur stably grasping an unknown object. In order to safely grasp an unknown object using the robot's fingers, they should detect the force of gripping direction and the force of gravity direction, and perform the force control using the detected farces. The 3-axis force sensor that detects the Fx, Fy, and Fz simultaneously should be used for accurately detecting the weight of an unknown object of gravity direction. Thus, in this paper, robot's finger for stably grasping an unknown object is developed. And, the 3-axis farce sensor that detects the Fx, Fy, and Fz simultaneously fur constructing a robot's finger is newly modeled using several parallel-plate beams, and is fabricated. Also, it is calibrated, and evaluated.

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뇌졸중 환자의 엄지손가락 재활운동을 위한 직교형 엄지손가락 재활로봇 개발 (Development of Rectangular-type Thumb Rehabilitation Robot for Stroke Patient's Thumb Rehabilitation Exercise)

  • 김현민;김용국;신희석;윤정원;김갑순
    • 한국정밀공학회지
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    • 제29권5호
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    • pp.516-523
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    • 2012
  • Stroke patients should exercise for the rehabilitation of their fingers, because they can't use their hand and fingers. The moving direction of thumb of five fingers is different that of four fingers (force finger, middle finger, ring finger, little finger). The thumb rehabilitation robot for rehabilitation exercise must be included a force control system, because robot can injure thumb by applying too much force. In this paper, the rectangular-type thumb rehabilitation robot was developed for stroke patient's thumb rehabilitation exercise of the flexibility rehabilitation exercise. The characteristic test of the developed rectangular-type thumb rehabilitation robot was carried out with normal men in their twenties. As a result, it is thought that the robot can be used for the flexibility rehabilitation exercise of stroke patient's thumb.

손가락 힘센서를 가진 지능형 로봇손 개발 (Development of Intelligent robot' hand with Three Finger Force Sensors)

  • 김갑순;신희준;김현민
    • 한국정밀공학회지
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    • 제26권1호
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    • pp.89-96
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    • 2009
  • This paper describes the intelligent robot's hand with three finger sensors for a humanoid robot. In order to grasp an unknown object safely, the intelligent robot's hand should measure the mass of the object, and determine the grasping force using the mass, finally control the grasping force using the finger sensors and the controller. In this paper, the intelligent robot's hand for a humanoid robot was developed. First, the six-axis force/moment sensor was manufactured. second, three finger force sensors were designed and fabricated, third, the high-speed controller was manufactured using DSP(digital signal processor), finally, the characteristic test for determining a grasping force and for grasping an unknown object safely It is confirmed that the hand could grasp an unknown object safely.

로봇의 지능형 손을 위한 3축 손가락 힘센서 개발 (Development of 3-axis finger force sensor for an intelligent robot's hand)

  • 김갑순
    • 센서학회지
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    • 제15권6호
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    • pp.411-416
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    • 2006
  • This paper describes the development of a 3-axis finger force sensor to grasp an unknown object safely in an intelligent robot's hand. In order to safely grasp an unknown object, robot's hand should measure the weight of an object and the force of grasping direction simultaneous. But, in the published papers, the grippers and hands equippd with the force sensor that could only measure the force of grasping direction, and grasped objects using their sensors. These grippers and hands can't safely grasp unknown objects, because they can't measure the weight of it. Thus, it is necessary to develop 3-axis force sensor that can measure the weight of an object and the force of grasping direction for an intelligent gripper. In this paper, 3-axis finger force sensor to grasp an unknown object safely in an intelligent robot's hand was developed. In order to fabricate a 3-axis finger force sensor, the sensing elements were modeled using parallel plate beams, and the theoretical analysis was performed to determine the size of sensing elements, then the 3-axis finger force sensor was fabricated. Also, the characteristic test of the developed 3-axis finger force sensor was performed.

지능형 로봇손을 위한 손가락 힘센서 개발 (Development of Force Sensors for the Fingers of an Intelligent Robot's Hand)

  • 김갑순
    • 센서학회지
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    • 제23권2호
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    • pp.127-133
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    • 2014
  • This paper describes a design and manufacture of a two-axis force sensor and a single-axis force sensor for the fingers of an intelligent robot's hand. The robot's finger is composed of a two-axis force sensor, a first knuckle, a single-axis force sensor, a second knuckle, a spring, a motor of first knuckle, a motor of second knuckle, and so on. The two-axis force sensor attached to the first knuckle and the single-axis force sensor attached to the second knuckle were designed and manufactured, and the characteristics test of two sensors was carried out. As a test results, the interference error of the two-axis force sensor was less than 0.68%, the repeatability error of each sensor was less than 0.02%, and then the non-linearity was less than 0.03%. It is thought that the sensors can be used for the fingers of the intelligent robot's hand for rehabilitation exercise of finger patients.