Eye-to-hand approach on eye-in-hand configuration within real-time visual servoing

This paper presents a framework of hand-eye relation for visual servoing with more precision, mobility, and global view. Mainly, there are two types of camera utilization for visual servoing: eye-in-hand and eye-to-hand configurations. Both have own merits and drawbacks regarding to precision and view limit that oppose each other. Based on both behaviors, this paper employs a mobile manipulator as the second robot to hold the camera. Here, the camera architecture is eye-to-hand configuration for the main robot, but mainly behaves as eye-in-hand configuration for the second robot. Having this framework, the drawback of each configuration is resolved by the benefit of the other. Here, the camera becomes mobile with more precision and global view. In addition, since there is no additional camera, the vision algorithm can be kept simple. In order to gain real-time visual servoing, this paper also addresses real-time constraints on vision system and data communication between robot and vision. Here, a hexagon pattern of artificial marker with a simplified image processing is developed. A grasp positioning problem is considered with position-based dynamic look and move visual control through object pose estimation. The system performance is validated by the experimental result.