Currently, automatic image processing is one of the most important areas in the field of
artificial intelligence, and it refers to the development of robotic systems that perform pattern …

This paper aims to develop a visual servo control of a robotic manipulator for cherry tomato
harvesting. In the robotic manipulator, an RGB-depth camera was mounted to the end …

In recent years, numerous studies have applied deep reinforcement learning (DRL)
algorithms to vision-guided unmanned aerial systems. However, DRL is not good at training …

It is a challenging task to track objects moving along an unknown trajectory. Conventional
model-based controllers require detailed knowledge of a robot's kinematics and the target's …

This research advances the state of the image-based visual servoing (IBVS) of robotic arms
to handle very large visual errors without the camera advance/retreat problem. Conventional …

In this paper, a control approach for reconfigurable parallel robots is designed. Based on it,
controls in the vision-sensor, 3D and joint spaces are designed and implemented in target …

Human following is a very useful task in the robotics industry. With modern compact-sized
robots, there is a demand for further investigated computer-vision solutions that can perform …

Many edge applications, such as collaborative robotics and spacecraft rendezvous, can
benefit from 6D object pose estimation, but must do so on embedded platforms …

Three dimensional (3D) robot measurement systems, with binocular planar structured light
cameras (3D cameras) installed at the terminal flange of robots, are widely used to measure …

A vision-based guidance methodology is proposed for precise positioning of the tool center
point (TCP) of heavy-duty, long-reach (HDLR) manipulators. HDLR manipulators are non …