Optimal grasping manipulation for multifingered robots using semismooth newton method

Chun Hsu Ko, Jein Shan Chen*


研究成果: 雜誌貢獻期刊論文同行評審

17 引文 斯高帕斯(Scopus)


Multifingered robots play an important role in manipulation applications. They can grasp various shaped objects to perform point-to-point movement. It is important to plan the motion path of the object and appropriately control the grasping forces for multifingered robot manipulation. In this paper, we perform the optimal grasping control to find both optimal motion path of the object and minimum grasping forces in the manipulation. The rigid body dynamics of the object and the grasping forces subjected to the second-order cone (SOC) constraints are considered in optimal control problem. The minimum principle is applied to obtain the system equalities and the SOC complementarity problems. The SOC complementarity problems are further recast as the equations with the Fischer-Burmeister (FB) function. Since the FB function is semismooth, the semismooth Newton method with the generalized Jacobian of FB function is used to solve the nonlinear equations. The 2D and 3D simulations of grasping manipulation are performed to demonstrate the effectiveness of the proposed approach.

期刊Mathematical Problems in Engineering
出版狀態已發佈 - 2013

ASJC Scopus subject areas

  • 一般數學
  • 一般工程


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