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This paper deals with the method to generate human whole body motion by identifying performance index to be optimized. Most of the human motion in daily life, including a "lift-up an object" motion, is complex and the performance index are regarded to vary during the motion. Lift-up an object motion is generated by solving inverse kinematics. The experimentally measured trajectory of the hand is given and the rest of the degree of freedom is determined by optimizing a performance index that blends several sub-functions. The coefficients for each sub-function are identified through the motion generation simulation.