2022-12-15
Robots have made amazing progress in their development over the past few decades. However, with the maturity and popularity of 3D vision technology, robots have entered a new era, that is, the era of fully autonomous perception and operation.
3D vision technology refers to the use of a variety of sensors and algorithms to generate data that can describe the position and shape of objects in three-dimensional space. Feed this data into the robot's program, and the robot can use it to build a model of the real world and sense and manipulate it.
Previously, robots relied on traditional purely visual technologies such as computer vision and image recognition to perceive and manipulate their environment. However, these techniques have significant limitations. For example, in the case of unstable lighting, image recognition often fails; In the case of occlusion between objects, computer vision also cannot distinguish between them.
3D vision overcomes these problems. Not only can it accurately capture the details of an object's surface in any lighting condition, it is also able to identify objects in the case of occlusion. By converting this data into the format required by the robot, the robot can manipulate the object in more detail according to its needs.
Therefore, using 3D vision technology, the robot can fully autonomously perceive and operate in the operating environment. They can autonomously collect, parse, and utilize data to make decisions and interact with the environment. This includes finding objects, grasping objects, recognizing human gestures, path planning, and more.
As an example, robots can use 3D vision technology to solve many industrial automation tasks. During this process, the robot needs to find a part in a specific location, remove it from the storage shelf, and place it into the loading device. With 3D vision, robots can easily find locations because they can create accurate models of storage racks and parts and use these models to perform different stages of a task.
On the basis of no teaching, the temporary processing ability of the actual weld is increased, including the detection of the size of the weld groove and real-time modification of the welding process, and the detail adjustment of the voltage and current of the welding machine according to the actual situation of the workpiece and swing welding and vertical welding.
The "Maida Immediate teacher-free intelligent welding system" independently developed by Dolphin Intelligence can be adapted to a variety of teaching devices and robot systems. Combining 3D visual image algorithm, autonomous obstacle avoidance algorithm and welding process design, it provides autonomous planning function based on image recognition and feature analysis, which can solve the problem that traditional robot welding cannot meet the welding requirements of steel structure workpiece with multiple types of welding parts or joints.
In short, 3D vision technology brings robots into a new era, making them more autonomous and intelligent than ever before. By using this technology, robots are able to operate in complex and variable environments, such as industrial automation and medical care. As this technology continues to evolve, robots will also continue to evolve and be used in a wider range of areas.