Task Based Hybrid Closure Grasping Optimization for Autonomous Robot Hand

  • Tetsuyou Watanabe
  • ZhongWei Jiang
  • Tsuneo Yoshikawa
Chapter

Abstract

Multi-fingered/robot hand is usually equipped with robots in order to perform some tasks, such as, lifting up an object on a table and putting it down on another table; putting an object into a hole; assembling some objects. To perform such tasks, the multi-fingered hand with functions of grasping and manipulating is generally requested for practical use. In order to design the desirable grasping which can perform such a given task, the concept of hybrid closure considering both the contact positions and finger configuration is introduced in this chapter. Based on this concept, the fundamental theory and algorithm on how to make the configuration of fingers and how to determine the contact positions as the fingers are grasping and manipulating an object are described in detail. This chapter consists of 9 sections. In Section 20.1, we first make a brief introduction of the researches on grasp analysis and performance of robot fingers. Further we describe some basic concepts and properties for grasping, especially the importance of the hybrid closure with considering both the contact positions and finger configuration. In Section 20.2, the target system handled in this chapter is shown and the kinematics of the system and the frictional constraint required for maintaining contact is described in detail. Section 20.3 shows the important properties of a hybrid closure grasp. In Section 20.4 the dynamic relationship of the hand system is derived. Section 20.5 describes the concept of required external force set which is important for designing a grasps to perform a given task. Based on the concepts of hybrid closure and required external force set, we define required acceleration and equilibrium-force sets. In Section 20.6, we formulate an optimization problem to design the desirable grasp to perform a given task, using the defined required acceleration and equilibrium-force sets. The algorithm for solving the optimization problem is explained in detail in Section 20.7, and the some numerical examples are demonstrated in Section 20.8. Section 20.9 is conclusion of this chapter.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tetsuyou Watanabe
    • 1
  • ZhongWei Jiang
    • 2
  • Tsuneo Yoshikawa
    • 3
  1. 1.Graduate School of Natural Science & TechnologyKanazawa UniversityKanazawaJapan
  2. 2.Graduate School of Science and EngineeringYamaguchi UniversityUbeJapan
  3. 3.College of Information Science and EngineeringRitsumeikan UniversityKusatsuJapan

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