Intuitive control of three fingers robotic Gripper with a Data hand glove

Abstract

Gripping and holding of object is one of the most important tasks of any robotic gripper. In an industry there are various unfamiliar objects of varying shapes, sizes and geometry. Hence for a gripper to pick up such objects it is a challenging task. To overcome this problem we have used an Adaptive Gripper to carry out gripping and holding operations intuitively, being controlled through a Data hand glove gesture commands. Robotic gripper grasps anything that comes in between its 3 fingers and automatically adapts to its shape. This paper describes this master-slave operation as a teleoperation system by controlling the Adaptive robotic gripper through finger gestures and creation of Graphic User Interface through MFC C++ App.