Traditional grasping methods for locating unpredictable positions of moving objects under
an unstructured environment cannot achieve good performance. This paper studies the …

In this paper we proposed a method for geometric calibration of a projector. This method
makes use of a calibrated camera to calibrate the projector. Since the projector works …

Traditional methods of grasping moving objects use visual information from camera that is
statically mounted overlooking the task environment. However, when the camera view is …

The most compelling requirements for visual tracking systems are a high detection accuracy
and an adequate processing speed. However, the combination between the two …

The huge amount of literature on real-time object tracking continuously reports good results
with respect to accuracy and robustness. However, when it comes to the applicability of …

An important prerequisite for autonomous robots is their ability to reliably grasp a wide
variety of objects. Most state-of-the-art systems employ specialized or simple end-effectors …

With the advanced development of AI, Deep Reinforcement Learning (DRL) is one way to let
robots learn how to complete tasks independently. Based on DRL algorithms, robot …

The development of robots received great attention in the last decades. Progressing from
hard-coded pick and place operations common for industrial applications, the need for more …

Robotic systems have been increasingly employed in various industrial, urban, mili-tary and
exploratory applications during last decades. To enhance the robot control per-formance …

In this paper, techniques for tracking and grasping moving objects with an unknown speed
on a conveyor using an eyein-hand robot arm are presented, which are useful in a …