Robotic vision based mimicry of a human arm in 2-dimensions

Robots and machines are increasingly finding applications as force multipliers in various domains ranging from arcade games to heavy industries. However, the control of these force multipliers has remained non intuitive and uses old fashioned methods of controls such as joysticks, controllers, and unnecessary attachments. While some of them are completely autonomous, there is no middle ground here. The objective of this paper is to provide the most intuitive semi-autonomous control, a one to one mapping between the operator's movement and the robotic arm in real-time and in a continuous fashion. Using the concepts of Inverse Kinematics and 3-D vision, such vision based mimicry has been put forth for 2-Dimensional Motion.