Robot Arm Manipulation Using Depth-Sensing Cameras and Inverse Kinematics

In this work we propose a new technique to manipulate a robotic arm which uses a depth camera to capture the user input and inverse kinematics to define the motion of the robotic arm. The presented technique is inexpensive to implement and easier to learn as compared to the current methods. Along with the easier manipulation of the robotic arm, the presented approach also adds some simple speech and gesture commands to control the end-effector which makes the interaction more intuitive.