• Title/Summary/Keyword: Grasp model

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Characterization and Control of Grasp Stiffness Based on Virtual Stiffness Model (가상 강성 모델에 기초한 파지 강성 해석 및 파지 제어)

  • Choi, Hyouk-Ryeol;Chung, Wan-Kyun;Youm, Youngil
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.8
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    • pp.128-138
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    • 1996
  • Based on the virtual stiffness model, the stiffness of a grasped object is characterized. Differing from the previous investigations, the effect of grasp force on the stiffness of a grasp is formulated in terms of additional stiffness, which is called additional stiffness in this paper, and it is addressed how this term affects the stability of a grasp. In addition, a method of controlling the stiffness of a grasp is proposed and validated by experiments using a two-fingered robot hand.

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Method of Object Identification Using Joint Data of Multi-Joint Robotic Gripper for Bin-picking (빈-피킹을 위한 다관절 로봇 그리퍼의 관절 데이터를 이용한 물체 인식 기법)

  • Park, Jongwoo;Park, Chanhun;Park, Dong Il;Kim, DooHyung
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.6
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    • pp.522-531
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    • 2016
  • In this study, we propose an object identification method for bin-picking developed for industrial robots. We identify the grasp posture and the associated geometric parameters of grasp objects using the joint data of a robotic gripper. Prior to grasp identification, we analyze the grasping motion in a low-dimensional space using principle component analysis (PCA) to reduce the dimensions. We collected the joint data from a human hand to demonstrate the grasp-identification algorithm. For data acquisition of the human grasp data, we conducted additional research on the motion characteristics of a human hand. We explain the method for using the algorithm of grasp identification for bin-picking. Finally, we present a subject for future research using our proposed algorithm of grasp model and identification.

The Optimal Grasp Planning by Using a 3-D Computer Vision Technique (3차원 영상처리 기술을 이용한 Grasp planning의 최적화)

  • 이현기;김성환;최상균;이상룡
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.54-64
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    • 2002
  • This paper deals with the problem of synthesis of stable and optimal grasps with unknown objects by 3-finger hand. Previous robot grasp research has mainly analyzed with either unknown objects 2-dimensionally by vision sensor or known objects, such as cylindrical objects, 3-dimensionally. As extending the previous work, in this study we propose an algorithm to analyze grasp of unknown objects 3-dimensionally by using vision sensor. This is archived by two steps. The first step is to make a 3-dimensional geometrical model for unknown objects by using stereo matching. The second step is to find the optimal grasping points. In this step, we choose the 3-finger hand which has the characteristic of multi-finger hand and is easy to model. To find the optimal grasping points, genetic algorithm is employed and objective function minimizes the admissible force of finger tip applied to the objects. The algorithm is verified by computer simulation by which optimal grasping points of known objects with different angle are checked.

Optimal 3D Grasp Planning for unknown objects (임의 물체에 대한 최적 3차원 Grasp Planning)

  • 이현기;최상균;이상릉
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.462-465
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    • 2002
  • This paper deals with the problem of synthesis of stable and optimal grasps with unknown objects by 3-finger hand. Previous robot grasp research has analyzed mainly with either unknown objects 2D by vision sensor or unknown objects, cylindrical or hexahedral objects, 3D. Extending the previous work, in this paper we propose an algorithm to analyze grasp of unknown objects 3D by vision sensor. This is archived by two steps. The first step is to make a 3D geometrical model of unknown objects by stereo matching which is a kind of 3D computer vision technique. The second step is to find the optimal grasping points. In this step, we choose the 3-finger hand because it has the characteristic of multi-finger hand and is easy to modeling. To find the optimal grasping points, genetic algorithm is used and objective function minimizing admissible farce of finger tip applied to the object is formulated. The algorithm is verified by computer simulation by which an optimal grasping points of known objects with different angles are checked.

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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 Specifying Compliance Characteristics for Assembly Tasks Using Robot Hands: Two Dimensional Model (로봇 손을 이용한 조립 작업의 컴플라이언스 특성 설정에 관한 연구:2차원 모델)

  • Kim, Byoung-Ho;Oh, Sang-Rok;Yi, Byung-Ju;Suh, Il-Hong
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.1
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    • pp.1171-1177
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    • 2001
  • This paper provides a guideline for specifying the operational compliance characteristics considering the location of compliance center and the grasp points in assembly tasks using robot hands. Through various assembly tasks, we analyze the conditions of the achievable operational stiffness matrix with respect to the location of compliance center and the grasp points. Also, we show that some of coupling stiffness elements in the operational space cannot be planned arbitrarily. As a result it is concluded that the location of compliance center on the grasped object and the grasp points play important roles for successful assembly tasks and also the operational stiffness matrix should be carefully specified by considering those conditions.

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GRASP Algorithm for Dynamic Weapon-Target Assignment Problem (동적 무장할당 문제에서의 GRASP 알고리즘 연구)

  • Park, Kuk-Kwon;Kang, Tae Young;Ryoo, Chang-Kyung;Jung, YoungRan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.12
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    • pp.856-864
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    • 2019
  • The weapon-target assignment (WTA) problem is a matter of effectively allocating weapons to a number of threats. The WTA in a rapidly changing dynamic environment of engagement must take into account both of properties of the threat and the weapon and the effect of the previous decision. We propose a method of applying the Greedy Randomized Adaptive Search Procedure (GRASP) algorithm, a kind of meta-heuristic method, to derive optimal solution for a dynamic WTA problem. Firstly, we define a dynamic WTA problem and formulate a mathematical model for applying the algorithm. For the purpose of the assignment strategy, the objective function is defined and time-varying constraints are considered. The dynamic WTA problem is then solved by applying the GRASP algorithm. The optimal solution characteristics of the formalized dynamic WTA problem are analyzed through the simulation, and the algorithm performance is verified via the Monte-Carlo simulation.

An Analysis of the Decision Factors on Mokpo Port by Multinomial Logit Model

  • Seong, Yu-Chang;Youn, Myung-Ou
    • Journal of Navigation and Port Research
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    • v.31 no.2
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    • pp.133-139
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    • 2007
  • Relative importance of maritime transport that takes charge of main current of freight in country' economy is very large. Especially, port and facility carry out important role which treats freight of import and export smoothly and improves international trade as turning point, to achieve key role on connection and association between sea and land. For such reason, enlargement of port facilities or development of port needs to grasp exactly the utilization of port, attributes and selective factors of shipper. On the other hand, the amounts of physical distribution on Mokpo port located in Korean west coast are increasing, with fast economic growth of East Asian including China. This study uses discrete choice model that is measuring to analyze attribute and characteristic of Mokpo port, and analyzes port selection by decision factors of shipper. This paper composed a questionnaire using the result of preceding research, to decide port selection factor among competitive ports. Through factor analysis on a basis of the questionnaire' result, five principal components were extracted. These are resorted out by Logit model, to grasp competitive elements of port. This research fin present direction which raises competitive power of ports in west coast of Korea, especially on alternative and concentration of middle-class port as Mokpo may be useful.

An instrumented Glove for Grasp specification in virtual reality based point-and-direct telerobotics

  • Yun, Myung-Hwan;Cannon, David;Freivalds, Andris
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.141-146
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    • 1996
  • Hand posture and force, which define aspects of the way an object is grasped, are features of robotics manipulation. A means for specifying these grasping "flavors" has been developed that uses an instrumented glove equipped with joint and force sensors. The new grasp specification system is being used at the Pennsylvania State University (Penn State) in a Virtual Reality based Point-and-Direct(VR-PAD) robotics implementation. In the Computer Integrated Manufacturing (CIM) Laboratory at Penn State, hand posture and force data were collected for manipulating bricks and other items that require varying amounts of force at multiple pressure points. The feasibility of measuring desired grasp characteristics was demonstrated for a modified Cyberglove impregnated with FSR (Force Sensitive Resistor) pressure sensors in the fingertips. A joint/force model relating the parameters of finger articulation and pressure to various lifting tasks was validated for the instrumented "wired" glove. Operators using such a modified glove may ultimately be able to configure robot grasping tasks in environments involving hazardous waste remediation, flexible manufacturing, space operations and other flexible robotics applications. In each case, the VR-PAD approach improved the computational and delay problems of real-time multiple-degree-of-freedom force feedback telemanipulation.ck telemanipulation.

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