• 제목/요약/키워드: spatial robot

검색결과 121건 처리시간 0.019초

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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Effect of Combined Therapy of Robot and Low-Frequency Repetitive Transcranial Magnetic Stimulation on Hemispatial Neglect in Stroke Patients

  • Kim, Sang Beom;Lee, Kyeong Woo;Lee, Jong Hwa;Lee, Sook Joung;Park, Jin Gee;Lee, Joung Bok
    • Annals of Rehabilitation Medicine
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    • 제42권6호
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    • pp.788-797
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    • 2018
  • Objective To investigate the effect of upper limb rehabilitation combining robot with low-frequency repetitive transcranial magnetic stimulation (rTMS) on unilateral spatial neglect in stroke patients. Methods Patients who had hemispatial neglect after right hemisphere stroke were randomly divided into rTMS only group, robot only group, and combined group. All groups received conventional neglect therapy and additional treatment for each group. rTMS group received rTMS therapy. Robot group received robot therapy, while combined group received both therapies. The effect of therapy was assessed with Motor-Free Visual Perception Test-3 (MVPT-3), line bisection test, star cancellation test, Catherine Bergego Scale (CBS), Mini-Mental State Examination (MMSE), and the Korean version of Modified Barthel Index (K-MBI). These measurements were evaluated before and after treatment. Results For each group, 10 patients were recruited. There were no significant differences in baseline characteristics or initial values among the three groups. Two weeks after the therapy, all groups showed significant improvement in MVPT-3, line bisection test, star cancellation test, CBS, MMSE, and K-MBI. However, changes in measurements showed no significant differences among groups. Conclusion Treatment effect of the combined therapy of robotic therapy and low-frequency rTMS therapy for hemispatial neglect was not statistically different from that of each single treatment. Results of this study did not prove the superiority of any of the three treatments. Further study with large number of patients is needed to evaluate the superiority of these treatments.

인간의 비언어적 행동 특징을 이용한 다중 사용자의 상호작용 의도 분석 (Interaction Intent Analysis of Multiple Persons using Nonverbal Behavior Features)

  • 윤상석;김문상;최문택;송재복
    • 제어로봇시스템학회논문지
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    • 제19권8호
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    • pp.738-744
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    • 2013
  • According to the cognitive science research, the interaction intent of humans can be estimated through an analysis of the representing behaviors. This paper proposes a novel methodology for reliable intention analysis of humans by applying this approach. To identify the intention, 8 behavioral features are extracted from the 4 characteristics in human-human interaction and we outline a set of core components for nonverbal behavior of humans. These nonverbal behaviors are associated with various recognition modules including multimodal sensors which have each modality with localizing sound source of the speaker in the audition part, recognizing frontal face and facial expression in the vision part, and estimating human trajectories, body pose and leaning, and hand gesture in the spatial part. As a post-processing step, temporal confidential reasoning is utilized to improve the recognition performance and integrated human model is utilized to quantitatively classify the intention from multi-dimensional cues by applying the weight factor. Thus, interactive robots can make informed engagement decision to effectively interact with multiple persons. Experimental results show that the proposed scheme works successfully between human users and a robot in human-robot interaction.

최소침습수술을 위한 복강경 매니퓰레이터 제어 (Laparoscope Manipulator Control for Minimally Invasive Surgery)

  • 김수현;김광기;조영호
    • 제어로봇시스템학회논문지
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    • 제17권7호
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    • pp.685-696
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    • 2011
  • An efficient laparoscope manipulator robot was designed to automatically control the position of laparoscope via a passive joint on end-effector position. The end position of the manipulator is controlled to have corresponding velocity defined in the global coordinate space using laparoscopic visual information. Desired spatial position of laparoscope was derived from detected positions of surgical instrument tips, then the clinical viewing plane was moved by visual servoing task. The laparoscope manipulator is advantageous for automatically maintaining clinically important views in the laparoscopic image without any additional operator. A laparoscope is mounted to a holder which is linked to four degree of freedom manipulator via universal joint-type passive rings connection. No change in the design of laparoscope or manipulator is necessary for its application to surgery assistant robot system. Expanded working space and surgical efficiency were accomplished by implementing slant linking structure between laparoscope and manipulator. To ensure reliable positioning accuracy and controllability, the motion of laparoscope in an abdominal space through trocar was inspected using geometrical analysis. A designed laparoscope manipulating robot system can be easily set up and controlled in an operation room since it has a few subsidiary devices such as a laparoscope light source regulator, a control PC, and a power supply.

스크래치 EPL을 활용한 라인트레이서 시뮬레이션 교육 프로그램 개발 (Development of Education Program for Line-Tracer Simulation using Scratch EPL)

  • 신갑천;허경
    • 정보교육학회논문지
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    • 제15권4호
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    • pp.533-542
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    • 2011
  • 본 논문은 PBL 기반 프로그래밍 교육방법에 기초하여 라인트레이서의 주행 알고리즘을 중심 학습 요소로 선정하였다. 본 논문에서는 스크래치 웹 코스웨어를 개발하여 로봇 프로그래밍 교육 발전에 걸림돌로 작용하는 과도한 비용 문제나 시간적, 공간적인 제약과 같은 환경적 여건의 부족 문제를 해소하기 위해, 라인트레이서 동작 시뮬레이션 스크래치 프로그램 및 교육 프로그램을 제안하였다. 그리고 실험 수업을 통해 초등 교육 현장에 적용함으로써 논리적 사고력과 문제 해결력에 미치는 영향을 검증하였다.

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지능형 로봇 시스템에서 하이브리드 실루엣 추출 방법을 이용한 인간의 몸 추출 (Extraction of Human Body Using Hybrid Silhouette Extraction Method in Intelligent Robot System)

  • 김문환;주영훈;박진배;조영조;지수영;김혜진
    • 한국지능시스템학회논문지
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    • 제15권7호
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    • pp.852-857
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    • 2005
  • 본 논문은 지능형 로봇 시스템을 위한 인간 몸의 하이브리드 실루엣 추출 기법을 제안한다. 지능형 로봇은 내부적인 진동과 낮은 해상도로 인해 강인한 실루엣 추출을 필요로 한다. 이를 극복하기 위해서 본 논문에서는 하이브리드 실루엣 추출 기법을 제안하였다. 하이브리드 실루엣은 영상간의 공간차 및 시간차 정보를 고려 생성되며 움직임 영역 모델을 통해 두 정보간의 중요성에 가중치를 준다. 최종적으로 실험결과를 통해 제안된 기법의 우수성을 확인하였다.

무인 자동차의 주변 환경 인식을 위한 도시 환경에서의 그래프 기반 물체 분할 방법 (Graph-based Segmentation for Scene Understanding of an Autonomous Vehicle in Urban Environments)

  • 서보길;최윤근;노현철;정명진
    • 로봇학회논문지
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    • 제9권1호
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    • pp.1-10
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    • 2014
  • In recent years, the research of 3D mapping technique in urban environments obtained by mobile robots equipped with multiple sensors for recognizing the robot's surroundings is being studied actively. However, the map generated by simple integration of multiple sensors data only gives spatial information to robots. To get a semantic knowledge to help an autonomous mobile robot from the map, the robot has to convert low-level map representations to higher-level ones containing semantic knowledge of a scene. Given a 3D point cloud of an urban scene, this research proposes a method to recognize the objects effectively using 3D graph model for autonomous mobile robots. The proposed method is decomposed into three steps: sequential range data acquisition, normal vector estimation and incremental graph-based segmentation. This method guarantees the both real-time performance and accuracy of recognizing the objects in real urban environments. Also, it can provide plentiful data for classifying the objects. To evaluate a performance of proposed method, computation time and recognition rate of objects are analyzed. Experimental results show that the proposed method has efficiently in understanding the semantic knowledge of an urban environment.

아두이노 N-스크린 통신보드를 활용한 피지컬 컴퓨팅 교육 프로그램 (Development of Education Program for Physical Computing using Arduino N-screen Communication Boards)

  • 허경;이주열;이혜민;이해상
    • 실천공학교육논문지
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    • 제7권2호
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    • pp.97-105
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    • 2015
  • 본 논문은 PBL 기반 프로그래밍 교육방법에 기초하여 피지컬 컴퓨팅 내용을 중심 학습 요소로 선정하였다. 본 논문에서는 아두이노를 활용한 피지컬 컴퓨팅 내용을 개발하고 로봇 프로그래밍 교육 발전에 걸림돌로 작용하는 과도한 비용 문제나 시간적, 공간적 제약과 같은 환경적 여건의 부족 문제를 해소하기 위한, 아두이노 교육 프로그램을 제안한다. 그리고 실험 수업을 통해 교육 현장에 적용함으로써 논리적 사고력과 문제해결력에 미치는 영향을 검증하였다.

Position error compensation of the multi-purpose overload robot in nuclear power plants

  • Qin, Guodong;Ji, Aihong;Cheng, Yong;Zhao, Wenlong;Pan, Hongtao;Shi, Shanshuang;Song, Yuntao
    • Nuclear Engineering and Technology
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    • 제53권8호
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    • pp.2708-2715
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    • 2021
  • The Multi-Purpose Overload Robot (CMOR) is a key subsystem of China Fusion Engineering Test Reactor (CFETR) remote handling system. Due to the long cantilever and large loads of the CMOR, it has a large rigid-flexible coupling deformation that results in a poor position accuracy of the end-effector. In this study, based on the Levenberg-Marquardt algorithm, the spatial grid, and the linearized variable load principle, a variable parameter compensation model was designed to identify the parameters of the CMOR's kinematics models under different loads and at different poses so as to improve the trajectory tracking accuracy. Finally, through Adams-MATLAB/Simulink, the trajectory tracking accuracy of the CMOR's rigid-flexible coupling model was analyzed, and the end position error exceeded 0.1 m. After the variable parameter compensation model, the average position error of the end-effector became less than 0.02 m, which provides a reference for CMOR error compensation.

정밀 로봇용 하모닉 드라이브의 실크 햇 형상에 따른 구조해석 (Structural Analysis for Silk Hat type of the Harmonic Drive for Precision Robot)

  • 남원기;함성훈;오세훈
    • 동력기계공학회지
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    • 제15권5호
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    • pp.61-66
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    • 2011
  • Recently, the speed reducer which is applied to robot has conducted a steady development on developments in the field of robotics. Among them, Harmonic drive is a high-stiffness, precision-controlled speed reducer and has high precision, compact, light in weight and high-reduction-ratio characteristics. The feature of flexspline of Harmonic Drive are two types. One is Cup type, the other is Silk Hat type. Silk Hat type is used in case of lighter and more compact in spatial because Silk Hat Type is hollow. According to the shape of silk hat, diaphragm is fractured because stress is concentrated. In this paper, the various shapes of silk hat are suggested to improve the durability of silk hat. And in the case of each shape, a study on stress and deformation using the FEM tool was carried out on flexspline.