Cloud-Based Networked Visual Servo Control

Adaptive Visual Servo Control

Adaptive servo visual robot control

Adaptive controllers for robot positioning and tracking using direct visual feedback with camera-in-hand configuration are proposed in this paper. The controllers are designed to compensate for full robot dynamics. Adaptation is introduced to reduce the design sensitivity due to robot and payload dynamics uncertainties. It is proved that the control system achieves the motion control objective ...

Performance Tests for Visual Servo Control Systems, with Application to Partitioned Approaches to Visual Servo Control

Visual servoing has been a viable method of robot manipulator control for more than a decade. Initial developments involved position-based visual servoing (PBVS), in which the control signal exists in Cartesian space. The younger method, image-based visual servoing (IBVS), has seen considerable development in recent years. PBVS and IBVS offer tradeoffs in performance, and neither can solve all ...

A New Hybrid Image-Based Visual Servo Control

In image-based visual servo control, where control is effected with respect to the image, there is no direct control over the Cartesian velocities of the robot end effector. As a result, the robot executes trajectories that are desirable in the image, but which can be indirect and seemingly contorted in Cartesian space. In this paper we describe the cause of these phenomena, and introduce a new...

A new partitioned approach to image-based visual servo control

The measurements repeat 10 times, and the averages of the error measures are listed in Table III. As can be seen in Table III, the orientation errors of the planar features are all very small. The average absolute position error using the linear method is 82.62 m, and the average location error of planar features is 53.12 m. Using the proposed method, the average absolute position error is redu...