We have developed a simple method for increasing the accuracy of an approximately correct hand-eye calibration. This method does not require any external ...

Sensors and actuators need to be calibrated individually and between each other to achieve the accuracy required to grasp or manipulate objects detected by the ...

Abstract. We describe a learning-based approach to hand- eye coordination for robotic grasping from monocular images. To learn hand-eye coordi-.

We describe a learning-based approach to hand-eye coordination for robotic grasping from monocular images. To learn hand-eye coordination for grasping, ...

Oct 22, 2024 · Our method determines simultaneously the hand-eye transformation and the location of a calibration object with respect to the robot world coordinate system.

Nov 19, 2021 · In this paper, an action learning for robotic grasping using eye-in-hand coordination is developed to grasp the cluttered and wide range of various objects.

Improving hand-eye calibration for robotic grasping and manipulation. In 2012 IEEE International Conference on Technologies for Practical Robot Applications ...

To learn hand-eye coordination for grasping, we trained a large convolutional neural net- work to predict the probability that task-space motion of the gripper ...

We introduce a new approach to hand-eye calibration called EasyHeC, which is markerless, white-box, and offers comprehensive coverage of positioning accuracy.

In this paper, an action learning for robotic grasping using eye-in-hand coordination is developed to grasp the cluttered and wide range of various objects ...