Analysis of the Latest Application Technology of the Top 10 Intelligent Robots

As a new generation of production and service tools, intelligent robots have a wider and more important position in the manufacturing and non-manufacturing fields, such as nuclear industry, underwater, space, agriculture, construction machinery (overground and underground), construction, medical, and disaster relief. In terms of risks, risks, military affairs, services, entertainment, etc., it can replace people to complete various tasks. At the same time, as an automated, informatized device and equipment, intelligent robots can fully enter the network world and play more and more important roles. This has a very realistic significance for humankind to open up new industries and improve production levels and living standards. In this regard, this article inventoryed the top ten most used robotics technology for your reference.

1. Biomechanical integration technology

Biomechanical integration is a cutting-edge science and technology that has developed rapidly in recent years. The technology is applied to robots, and through the measurement and processing of neural information and the establishment of human-computer information channels, neural biological signals are transmitted to robots, enabling robots to Executive's order. Because of this principle, prosthetics can also "understand" people's instructions and become part of the body.

2, security robot inspection technology

The intelligent patrol robot carries detection devices such as an infrared camera and a visible light camera. It conducts inspections in the work area and transmits the screen and data to the remote monitoring system. Infrared temperature measurement is performed on the device node to detect defects such as heat generation. At the same time, it is also possible to judge the operation status of the transformer through sound detection. For the operation of the equipment in the hidden dangers and failures of the automatic detection and alarm, effectively eliminate hidden dangers.

3, big data and analysis technology

There is more and more data, and the human ability to interpret is fixed. Computers can help humans find their blind spots, and data can make computers and humans communicate and integrate. The analysis model based on big data has only recently appeared in a large number of global manufacturing industries. Its advantages lie in the ability to optimize product quality, save energy, and improve equipment services.

4, robot autonomous technology

Robots are constantly evolving and can even be used in larger utilities. They become more autonomous, flexible, and cooperative. Ultimately, they will work side by side with humans, and humans will learn from them. These robots will cost less, and they will have a wider range of applications than the robots used in the manufacturing industry.

5, simulation technology

The simulation will use real-time data to reflect the real world in the virtual model, including machines, products, people, etc. This enables operators to test and optimize in virtual modeling.

6, Internet of things embedded technology

With the development of the Internet of Things industry, more devices and even more unfinished products will be connected using standard technologies, enabling on-site communication and providing real-time response.

7, cloud computing robot

Cloud computing robots will completely change the process of robot development and greatly promote the improvement of software systems. In today's era, cross-site and cross-enterprise data sharing is even more necessary. At the same time, the performance of cloud technology will increase and it will only take a few milliseconds to react.

8, over limit robot technology

In the field of micro and nano-manufacturing, robotics can help people turn what they can't see or touch into what they can see or touch, and they can also assemble and produce. The micro-nano robot can directly expand the interaction between substances in the nano-environment and operate on micro and nanoscale materials and materials.

9, AVG robot collaboration technology

Compared to single robots, the single player is more important than the coordinated operation among multiple robots. This requires a complete dispatching system to ensure that many robots working in the workshop are coordinated with one another. Multi-robot cooperative control algorithm This technology platform can cooperatively control hundreds of intelligent robots to work together to complete orders for cargo identification, cargo positioning, automatic crawling, automatic packaging and shipping functions.

10, brain wave control technology

Remote spot robots will become an integral part of people's lives in the future. Users need to wear a hat that can read brainwave data, and then use the imagination to train the robot's hands and feet to respond accordingly, in other words, to control the movement of the robot through ideas. It not only can identify various motion control commands through software, but also can actively avoid obstacles during the course of the movement. It has high flexibility and is easier to use.