Assessment of visual servoing techniques for target localization

Abstract

Robotics is advancing rapidly in the research area of designing, controlling and building new robots for domestic, commercial and military applications. In addition to these, it also becomes easy to control objects in dangerous locations like bomb defusal, mines and exploring shipwrecks. Visual Servoing (VS) is a technique that controls a robot and gives the motion to achieve the field of technologies such as bionomics and security guard. In robotics, the most important part is to place cameras in the workspace such that each and every place is visible during the whole task. In Visual Servoing, the challenge is to achieve kinematics that gives ease to pick and place objects. This paper represents an overall idea, state of the art techniques and architecture for camera control techniques and robot control techniques. This paper also highlights examples related to forward kinematics and inverse kinematic using Matlab.