• 제목/요약/키워드: Robot joint

검색결과 890건 처리시간 0.029초

센서 네트워크를 이용한 2족 보행 로봇의 워킹 방법에 관한 연구 (A study of Human robot Walking Method Using Zigbee Sensor Network)

  • 신대섭;이형철
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.375-377
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    • 2009
  • This paper researched the algorithm of robot's walking and action on the basis of robot studied and made at our laboratory and studied how to efficiently control the robot joints by developing wireless Digital Servo Motor using Zigbee Sensor Network Module which is using at wide part recently. I realized the stable walking by adopt Press Sensor at the bottom of robot foot to get stability of walking. Also I let the algorithm calculate the robot movement to make the joint motion and monitored the robot walk to its motion. At this Paper, I studied the method organizing the motion by the each robot walking and measuring the torque applying to the joint. And I also knew that it is possible to make its control and construct hardware more conveniently than them of the existing studied and controling 2Legs Walking Robot by applying it at walking robot and developing wireless servo motor by Zirbee Sensor Network.

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로드셀을 이용한 4족 보행로봇의 자세제어 평가 (Estimation of Attitude Control for Quadruped Walking Robot Using Load Cell)

  • 엄한성
    • 한국정보통신학회논문지
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    • 제16권6호
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    • pp.1235-1241
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    • 2012
  • 본 논문에서는 4족 보행로봇 TITAN-VIII의 모든 관절각과 로봇 본체의 자세각을 계측하여 발바닥의 위치를 추정하고 각 관절의 구동모터를 제어하였다. 네 발바닥에 로드셀을 설치하여 주기, 한주기당 이동거리와 발바닥이 들어 올려지는 높이를 변경하여 8가지 서로 다른 조건에서 보행실험을 수행하고 보행 중 발바닥에 가해지는 힘과 각 관절을 구동하는 모터의 소비전력을 구한 후 비교 분석하여 자세제어의 타당성을 평가하였다. 분석결과 새로운 주기가 시작되는 구간에서 발바닥이 지면을 늦게 떠나는 슬립현상을 확인했는데 이것은 관절각과 본체의 자세각을 계측하여 발바닥의 위치를 추정하고 보행계획을 수립하여 제어하는 것만으로 보행 중 발생하는 로봇 본체의 기울어짐과 기계적인 에러를 완벽하게 극복하지 못함을 확인했다.

Adaptive Enhancement Method for Robot Sequence Motion Images

  • Yu Zhang;Guan Yang
    • Journal of Information Processing Systems
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    • 제19권3호
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    • pp.370-376
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    • 2023
  • Aiming at the problems of low image enhancement accuracy, long enhancement time and poor image quality in the traditional robot sequence motion image enhancement methods, an adaptive enhancement method for robot sequence motion image is proposed. The feature representation of the image was obtained by Karhunen-Loeve (K-L) transformation, and the nonlinear relationship between the robot joint angle and the image feature was established. The trajectory planning was carried out in the robot joint space to generate the robot sequence motion image, and an adaptive homomorphic filter was constructed to process the noise of the robot sequence motion image. According to the noise processing results, the brightness of robot sequence motion image was enhanced by using the multi-scale Retinex algorithm. The simulation results showed that the proposed method had higher accuracy and consumed shorter time for enhancement of robot sequence motion images. The simulation results showed that the image enhancement accuracy of the proposed method could reach 100%. The proposed method has important research significance and economic value in intelligent monitoring, automatic driving, and military fields.

Redundancy Resolution by Minimization of Joint Disturbance Torque for Independent Joint Controlled Kinematically Redundant Manipulators

  • Park, Myoung-Hwan
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권1호
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    • pp.56-61
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    • 2000
  • Majority of industrial robots are controlled by a simple independent joint control of joint actuators rather than complex controllers based on the nonlinear dynamic model of the robot manipulator. In this independent joint control scheme, the performance of actuator control is influenced significantly by the joint disturbance torques including gravity, Coriolis and centrifugal torques, which result in the trajectory tracking error in the joint control system. The control performance of a redundant manipulator under independent joint control can be improved by minimizing this joint disturbance torque in resolving the kinematic redundancy. A 3 DOF planar robot is studied as an example, and the dynamic programming method is used to find the globally optimal joint trajectory that minimize the joint disturbance torque over the entire motion. The resulting solution is compared with the solution obtained by the conventional joint torque minimization, and it is shown that joint disturbance can be reduced using the kinematic redundancy.

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Set-Point Control of Elastic Joint Robots Using only Position Measurements

  • Son, Young-Ik;Hyungbo Shim;Seo, Jin-Heon
    • Journal of Mechanical Science and Technology
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    • 제16권8호
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    • pp.1079-1088
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    • 2002
  • Motivated by the dynamic output feedback passification results, point-to-point control laws for an elastic joint robot are presented when only the position measurements are available. The proposed method makes a parallel connection of the robot system and an input-dimensional linear system which obtains the effect of the desired differentiators. It is shown that the closed-loop nonlinear robot system can be rendered output strictly passive and the regulation of the system is achieved in the end. Robustness analysis is also given with regard to uncertainties on the robot parameters. Performance of the proposed control law is illustrated in the simulation studies of a manipulator with three revolute elastic joints.

Development of Anthropomorphic Robot Hand SKK Robot Hand I

  • Taehun Kang;Park, Hyoukryeol;Kim, Moonsang
    • Journal of Mechanical Science and Technology
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    • 제17권2호
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    • pp.230-238
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    • 2003
  • In this paper, a three-fingered anthropomorphic robot hand, called SKK Robot Hand 1, is presented. By employing a two-DOF joint mechanism, called Double Active Universal Joint (abbreviated as DAUJ from now on) as its metacarpal joint, the hand makes it possible to mimic humanlike motions. We begin with addressing the motivation of the design and mention how the anthropomorphic feature of a human is realized in the design of SKK Hand I Also, the mechanism of the hand is explained in detail, and advantages in its modular design are discussed. The proposed hand is developed for use as a testbed for dextrous manipulation. It is expected to resolve the increasing demand for robotic applications in unstructured environments. We describe its hardware construction as well as the controller structure including the preliminary results of experiments.

Pi-Sigma 신경 회로망을 이용한 로봇의 역 보정 (The Robot Inverse Calibration Using a Pi-Sigma Neural Networks)

  • 정재원;김수현;곽윤근
    • 한국정밀공학회지
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    • 제14권12호
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    • pp.86-94
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    • 1997
  • This paper proposes the robot inverse calibration method using a neural networks. A high-order networks called Pi-Sigma networks has been used. The Pi-Sigma networks uses linear summing units in the hidden layer and product unit in output layer. The inverse calibration model which compensates the diff- erence of joint variables only between measuring value and analytic value about the desired pose(position, orientation) of a robot is proposed. The compensated values are determined by using the weights obtained from the learning process of the neural networks previously. To prove the reasonableness, the SCARA type direct drive robot(4-DOF) and anthropomorphic robot(6-DOF) are simulated. It shows that the proposed calibration method can reduce the errors of the joint variables from .+-. 5 .deg. to .+-. 0.1 .deg. .

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Development of a Biped Walking Robot Actuated by a Closed-Chain Mechanism

  • Choi, Hyeung-Sik;Oh, Jung-Min;Baek, Chang-Yul;Chung, Kyung-Sik
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.209-214
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    • 2003
  • We developed a new type of human-sized BWR (biped walking robot), named KUBIR1 which is driven by the closed-chain type of actuator. A new type of the closed-chain actuator for the robot is developed, which is composed of the four-bar-link mechanism driven by the ball screw which has high strength and high gear ratio. Each leg of the robot is composed of 6 D.O.F joints. For front walking, three pitch joints and one roll joint at the ankle. In addition to this, one yaw joint for direction change, and another roll joint for balancing the body are attached. Also, the robot has two D.O.F joints of each hand and three D.O.F. for eye motion. There are three actuating motors for stereo cameras for eyes. In all, a 18 degree-of-freedom robot was developed. KUBIR1 was designed to walk autonomously by adapting small 90W DC motors as the robot actuators and batteries and controllers are on-boarded. The whole weight for Kubir1 is over 90Kg, and height is 167Cm. In the paper, the performance test of KUBIR1 will be shown.

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중력보상기를 적용한 로봇 팔의 실험적 연구 (Experimental Study of the Robot Arm Applying the Gravity Compensator)

  • 최형식;서해용;엄태웅;윤종수
    • Journal of Advanced Marine Engineering and Technology
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    • 제35권1호
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    • pp.60-67
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    • 2011
  • 본 논문에서는 중력보상기의 구조에 대해 연구하였고, 이를 적용하여 토크 성능을 개선하고 위치 오차를 줄이는 새로운 구조의 6축 다관절 로봇 매니퓰레이터에 대하여 연구하였다. 로봇 팔의 기구해석을 하였다. 또한, 로봇 팔의 1 및 2 축에 중력보상기를 적용한 관절구동기의 성능시험을 하였다. 성능 시험결과, 중력보상기를 적용한 로봇 관절구동기의 외부부하와 반복위치 오차가 대폭 감소됨이 검증되었다.

토크 오차 감소를 위한 디스크형 커플링을 갖는 토크센서가 내장된 로봇 관절모듈 (Joint Module with Joint Torque Sensor Having Disk-type Coupling for Torque Error Reduction)

  • 민재경;김휘수;송재복
    • 대한기계학회논문집A
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    • 제40권2호
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    • pp.133-138
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    • 2016
  • 기존에는 로봇 말단에 6축 힘/토크 센서를 부착하여 로봇의 힘제어 및 충돌감지를 수행하였지만, 이 방법은 매우 고가이고, 로봇의 몸체에서 발생한 충돌을 감지할 수 없었다. 이의 대안으로 각 관절에 관절 토크센서를 장착하였으나, 토크 측정 시에 발생하는 다양한 오차로 인하여 실제 적용에 한계가 있었다. 이러한 문제를 해결하고자 본 연구에서는 정확한 토크 측정을 위한 관절 토크센서 및 이를 포함하는 관절모듈을 개발하였다. 제안된 관절모듈은 로봇에 인가되는 모멘트 부하를 지지하고, 조립 시 발생하는 응력을 감소시키기 위하여 토크센서에 디스크형 커플링을 첨가하여 원하는 회전토크만을 효과적으로 측정할 수 있도록 하였다. 본 논문에서는 다양한 실험을 통하여 제안한 토크센서의 성능을 검증하였다.