Many industrial robots have been applied relatively simple operation that requires
repeatable tasks. However, through the rapid development of deep learning with 4 th …

In recent years, more and more people have invested in the research and industrialization of
intelligent robots. No matter in the scene of smart home, agriculture, industry or office, the …

Recently, deep learning has been increasingly used for robot-based object grasping. Since
it is important to accurately recognize the position of objects to be grasped, it is often …

Recently, the development of industrial robots is very rapid. Its emergence can make a great
contribution to the development of various industrial fields. As cutting-edge technologies in …

Real-time robotic grasping, supporting a subsequent precise object-in-hand operation task,
is a priority target towards highly advanced autonomous systems. However, such an …

In this paper, we propose a mobile robotic arm grasping system suitable for various service
requirements in indoor environments. For the task of grasping the given object, both the …

Nowadays, intelligent robots are widely applied in the manufacturing industry, in various
working places or assembly lines. In most manufacturing tasks, determining the category …

In this paper, a workpiece detection and positioning system has been studied. Firstly, data
sets of workpieces with three different shapes (cube, cylinder and sphere) are established …

In order to accurately recognize the working targets in complex environments, an industrial
robot vision model based on attention mechanism and deep learning is proposed. The …

Bin picking is an important task in smart manufacturing and intelligent robotics. For a robot to
pick or grip an object with a human-like gripping action, it needs to know the accurate 3D …