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In this paper, an analysis of mechanisms in two-finger grippers has been discussed to formulate an optimum design procedure. The design problem has been approached and formulated as a new optimization problem by using fundamental characteristics of grasping mechanisms. In particular, in order to optimize a mechanism for two-finger gripper, an original multi-objective optimum algorithm has been used by considering four different objective functions, such as grasping index, encumbrance of grasping mechanism, acceleration and velocity for finger gripper with respect to the imposed working area. A case study has been reported by using an 8R2P linkage for a proposed two-finger gripper mechanism. Numerical example has been computed to show the soundness of the proposed new optimum design procedure by referring to computational and practical results.

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In this paper, the optimum design of 3R manipulators is formulated and solved by using an algebraic formulation of workspace boundary. A manipulator design can be approached as a problem of optimization, in which the objective functions are the size of the manipulator and workspace volume; and the constrains can be given as a prescribed workspace volume. The numerical solution of the optimization problem is investigated by using two different numerical techniques, namely, sequential quadratic programming and simulated annealing. Numerical examples illustrate a design procedure and show the efficiency of the proposed algorithms

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