The core technology of intelligent robots - the key factors affecting the development of intelligent robots

At present, the development of intelligent robots in our country is rapid, but many parts and components products rely on imports, and there are great deficiencies in hardware technology. To have a better development in the field of intelligent robots, mastering the core technology is the key. The following Xiao Bian will inventory the three core technologies that affect the development of intelligent robots.

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1, computing technology

Intelligent robots are the clients of cloud computing, and cloud computing is the nerve center of intelligent robots, which determines the perception, movement and thinking of the entire robot. At the same time, cloud computing expands the robot's ability to use resources. Its mass storage capabilities provide unlimited possibilities for enhancing the memory of intelligent robots. The stronger the storage capacity, the more things that can be identified, so cloud computing directly determines intelligence. Robot's memory. In addition, cloud computing can realize the sharing of many robot resources, reduce storage costs, enable cheap development of robots, and facilitate the construction of large robot networks; another super function of cloud computing is computing power, which can give each client the ability to calculate the entire cloud. This gives the robot enough logical reasoning capabilities to reduce robot R&D costs.

2, data technology

Big data technology is a powerful backing for intelligent robots. The arrival of the era of big data has provided new impetus for the rapid development of intelligent robots, and it also provides more possibilities for intelligent robots to achieve further technological breakthroughs. The core value of big data technology lies in the storage and intelligent analysis of massive data. We will effectively and inexpensively access, retrieve, classify, and categorize data that are huge in quantity, variety in variety, extremely low in value, and rapidly changing in nature, and tap into the significance of big data for intelligent robots.

The huge knowledge base is an important part of big data technology and it is also one of the key points for the development of intelligent robots. The knowledge base can provide a rich "nutrition" for intelligent robots, thus creating a "full" robot. Google is the best example. He changed the previous situation based on the number of links and the weight of links, increasing the proportion of content and keywords, from simply searching keywords to interpreting keywords. This is Google's magical AI knowledge base, which is used to store every byte and phrase in the world, and then to understand the purpose of searching for these bytes. These knowledge bases are even beyond search.

3, artificial intelligence technology

The research of artificial intelligence technology includes language recognition, image recognition, natural language processing, and expert systems. It involves almost all disciplines in the natural sciences and social sciences, including computer science, psychology, philosophy, and linguistics. Artificial intelligence technology tries to understand the essence of intelligence, realize the simulation of human's consciousness and thinking process, and give robots intelligent behaviors and abilities such as learning, reasoning, thinking, planning, etc., so that robots can achieve higher levels of application. Complex work that intelligence can accomplish.

At present, the intelligent level of intelligent robots developed in China can only be said to be in the initial stage. On the one hand, we need to improve the autonomy of intelligent robots. This is to make smart robots more independent from people and have a more friendly man-machine interface. On the other hand, it improves the adaptability of intelligent robots, improves the ability of intelligent robots to adapt to environmental changes, and strengthens the interaction between them.

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