For the teleoperation of dual-arm robots with various tasks, the existence of a controller with a high degree of freedom is indispensable. Especially when precise work is required, additional information such as force feedback is very helpful for the operator. In transmitting such force information, a control device of exoskeleton-type with many points of contact with the human body can be one of the solutions. This paper proposes an optimal design method for the 7 degrees of freedom (DOF) exoskeleton systems. The proposed method optimizes the kinematic parameters by using kinematic performance indices related to the dexterity of the human and exoskeleton system. The manipulability ellipsoid is a representative index that can confirm the dexterity of the robot. In this study, we derived the objective function considering the human body model and then optimized it using a genetic algorithm. Unlike other HRI (Human-Robot Interaction) systems, exoskeleton robots share the end-effector as well as the base of the robot with the wearer. Therefore, it is hypothesized that the proposed performance index will be highly suitable for exoskeleton systems.

As the exoskeleton robot for the assistance of walking is on the rise, HRI (Human-Robot Interaction) come to be an important issue. So in this research the angle following Variable Stiffness Actuator by using cam for overcoming the limitation of volume and weight in existing mechanisms. For this mechanism determinant of stiffness is not an absolute value but it can be change from zero to rigid by the location of the pivot in the gage between the application point of the input force and output force. So it can be miniaturized and have the volumetric advantage by kinematic design. This variable stiffness system make the HRI effective and the safety from injury resulted from the malfunction and the wrong control can be guaranteed.