• 제목/요약/키워드: Robot Arm Force Control

검색결과 60건 처리시간 0.069초

Wearable Robot Arm의 제작 및 제어 (Design and Control of a Wearable Robot)

  • 정연구;김윤경;김경환;박종오
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.277-282
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    • 2001
  • As human-friendly robot techniques improve, the concept of the wearability of robotic arms becomes important. A master arm that detects human arm motion and provides virtual forces to the operator is an embodied concept of a wearable robotic arm. In this study, we design a 7 DOF wearable robotic arm with high joint torques. An operator wearing this robotic arm can move around freely because this robotic arm was designed to have its fixed point at the shoulder part of the operator. The proposed robotic arm uses parallel mechanisms at the shoulder part and the wrist part on the model of the human muscular structure of an upper limb. To reduce the computational load in solving the forward kinematics and to prevent singularity motions of the parallel mechanism, yawing motion of the parallel mechanisms was separated using a slip ling mechanism. The total weight of the proposed robotic arm is about 4 kg. An experimental result of force tracking test for the pneumatic control system and an application example for VR robot are described to show the validity of the robot.

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상지재활로봇의 팔힘측정용 2축 힘센서 설계 (Design of a Two-Axis Force Sensor for Measuring Arm Force of an Upper-Limb Rehabilitation Robot)

  • 김갑순
    • 센서학회지
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    • 제24권2호
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    • pp.137-143
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    • 2015
  • This paper describes the design of a two-axis force sensor with two step plate beams for measuring forces in an upper-limb rehabilitation robot. The two-axis force sensor is composed of a Fz force sensor and a Ty torque sensor. The Fz force sensor measures the force applied to a patient's arm pushed by a rehabilitation robot and the force of patient's arm. The Ty torque sensor measures the torque generated by a patient's arm motion in an emergency. The structure of sensor is composed of a force transmitting block, two step plate beams and two fixture blocks. The two-axis force sensor was designed using FEM (Finite Element Method), and manufactured using strain-gages. The characteristics test of the two-axis force sensor was carried out. as a test results, the interference error of the two-axis force sensor was less than 1.24%, the repeatability error of each sensor was less than 0.03%, and the non-linearity was less than 0.02%.

가상환경에서의 힘생성기법 연구 (A Ftudy of Force Generation Algorithm Based on Virtual Environments)

  • 김창희;황석용;김승호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1714-1717
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    • 1997
  • A human operator is able to perform some tasks smoothly with force feedvack for the teleoperation or a virtual device in a the virtual environments. This paper describes a virtual force generation method with which operator can feel the interactive force between virtula robot and artificial environments. A virtual force generation algortihm is applied to generate the contact force at the arbitrary point of virtual robot, and the virtual force is displayed to the human operator via a tendon master arm consisted with 3 motors. Some experiments has beencarried out to verify the effectiveness of the force generation algorithm and usefulness of the developed backdrivable master arm.

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External Force Control for Two Dimensional Contour Following ; Part 1. A Linear Control Approach

  • Park, Young-Chil;Kim, Sungkwun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.130-134
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    • 1992
  • The ability of a robot system to comply to an environment via the control of tool-environment interaction force is of vital for the successful task accomplishment in many robot application. This paper presents the implementation of external force control for two dimensional contour following task using a commercial robot system. Force accommodation is used since a constraint imposed in our work is not to modify the commercial robot system. A linear, decoupled model of two dimensional contour following system in the discrete time domain is derived first. Then the experimental verification of linear control is obtained using a PUMA 560 manipulator with standard Unimation controller, Astek FS6-120A six axis wrist force sensor attached externally to the arm and LSI-11173 microcomputer. Experimentally obtained data shows that the RMS contact force error is 0.8246 N when following the straight edge and 2.3768 N when following 40 mm radius curved contour.

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적응 순응성을 갖는 힘-가이드 제어 기법을 이용한 두 팔 로봇 협동 조립작업 (Two-Arm Cooperative Assembly Using Force-Guided Control with Adaptive Accommodation)

  • 최종도;강성철;김문상;이종원;송재복
    • 제어로봇시스템학회논문지
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    • 제6권3호
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    • pp.298-308
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    • 2000
  • In this paper a new two-arm cooperative assembly(or insertion) algorithm is proposed. As a force-guided control method for the cooperative assembly the adaptive accommodation controller is adopted since it does not require any complicated contact state analysis nor depends of the geometrical complexity of the assembly parts. Also the RMRC(resolved motion rate control) method using a relative jacobian is used to solve inverse kinematics for two manipulators. By using the relative jacobian the two cooperative redundant manipulators can be formed as a new single redundant manipulator. Two arms can perform a variety of insertion tasks by using a relative motion between their end effectors. A force/torque sensing model using an approximated penetration depth calculation a, is developed and used to compute a contact force/torque in the graphic assembly simulation . By using the adaptive accommodation controller and the force/torque sensing model both planar and a spatial cooperative assembly tasks have been successfully executed in the graphic simulation. Finally through a cooperative assembly task experiment using a humanoid robot CENTAUR which inserts a spatially bent pin into a hole its feasibility and applicability of the proposed algorithm verified.

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Force Control of a Arm of Walking Training Robot

  • Shin, Ho-Cheol;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.171.2-171
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    • 2001
  • This paper presents a force control of a arm of walking training robot. The current gait training apparatus in hospital are ineffective for the difficulty in keeping constant unloading level and constraining patients to walk freely. The proposed walking training robot is designed to unload body weight effectively during walking. The walking training robot consists of unloading manipulator and mobile platform. The manipulator driven with a electro-mechanical linear mechanism unloads body weight in various level. The mobile platform is wheel type, which allows to patients unconstrained walking. Unloading system with electro-mechanical linear mechanism has been developed, which has advantages such as low noise level, light weight, low manufacturing cost and low power consumption. A system model for the manipulator ...

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Development of a Dual-arm Collaborative Robot System for Chemical Drum Assembly

  • Gi-Seong Kim;Sung-Hun Jeong;Shi-Baek Park;Han-Sung Kim
    • 한국산업융합학회 논문집
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    • 제26권4_1호
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    • pp.545-551
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    • 2023
  • In this paper, a robot automation methodology for chemical drum assembly in semiconductor industries are presented. Robot automation is essential to resolve safety issues in which operators are directly or indirectly exposed to chemicals or fumes in assembling dispense heads on chemical drums. However, the chemical drum assembling process involves complex and difficult tasks, such as mating male/female keycodes and fastening screws with large-diameter, which may be very difficult to be performed by a single-arm robot with a commercial rigid F/T sensor. In order to solve the problems, a method for assembling a chemical drum using dual-arm collaborative robot system, compliance F/T sensor, robot vision and gripper is presented.

Human Assistance Robot Control by Artificial Neural Network for Accuracy and Safety

  • Zhang, Tao;Nakamura, Masatoshi
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.368-371
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    • 2003
  • A new accurate and reliable human-in-the-loop control by artificial neural network (ANN) for human assistance robot was proposed in this paper. The principle of human-in-the-loop control by ANN was explained including the system architecture of human assistance robot control the design of the controller the control process as well as the switching of the different control patterns. Based on the proposed method, the control of meal assistance robot was implemented. In the controller of meal assistance robote a feedforward ANN controller was designed for the accurate position control. For safety a feedback ANN forcefree control was installed in the meal assistance robot. Both controllers have taken fully into account the influence of human arm upon the meal assistance robote and they can be switched smoothly based on the external force induced by the challenged person arm. By the experimental and simulation work of this method for an actual meal assistance robote the effectiveness of the proposed method was verified.

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Force Reflection 기능을 갖는 Master Arm의 실시간 견실에 관한 연구 (The Real Time Robust Control of a Force Reflecting Master-arm Integrated with a Robot)

  • 장준화;김휘동;전완수;이진;한성현
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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    • pp.234-238
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    • 2001
  • A lot of researches have been done in teleoperation field. For accurate and reliable teleoperation, force reflection is required so that the master can feel the same force, which is measured at reflection have been applied to most of the master device. Therefore the master can not control the force exerted by the slave robot to the environment. But some tasks such as an insertion with very small tolerance, skewing bolt and so forth, require the force command from the master.

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딥러닝과 센서를 이용한 서비스용 로봇 팔의 설계 (Design of Robot Arm for Service Using Deep Learning and Sensors)

  • 박명숙;김규태;구모세;고영준;김상훈
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제11권5호
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    • pp.221-228
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    • 2022
  • 인공지능 기술의 적용으로 로봇이 실생활에서 효율성 높은 서비스를 제공할 수 있게 되었다. 본 연구에서는 단순 반복적 작업을 하는 산업용 매니퓰레이터와 달리 서비스 로봇 분야에서 장소의 제약 없이 단독으로 또는 협업하여 사용하기 위한 6자유도 로봇 팔의 설계방법과 지능적인 물체 검출 및 이동 방법을 제시하고 성능을 검증하였다. 로봇 팔에 포함된 임베디드 보드의 ROS 환경에서 깊이 카메라와 딥러닝을 이용하여 로봇팔은 물체를 검출하고, 역기구학 해석을 통해 물체 영역으로 이동한다. 또한 물체와 접촉 시 힘센서 값의 분석을 통해 물체를 정확히 잡고 이동하는 동작이 가능하게 하였다. 제작한 로봇 팔에 대한 성능검증을 위하여 딥러닝과 영상처리를 통한 물체의 정확한 위치 산출, 모터 제어 및 물체 분리에 대한 실험을 하였으며, 실제 동작 여부를 확인하기 위하여 카페에서 흔히 사용하는 다양한 컵들을 분리하는 실험을 수행하였다.