The top ten technology terms of 2023 are released! These are related to robots

Recently, the results of the "Top Ten Science and Technology Terms of 2023" selection activity initiated by the National Science and Technology Terminology Review Committee and a number of authoritative institutions were announced. Many emerging technologies are closely related to robots . The birth and development of these new science and technology terms will have a profound impact on the robotics industry.

Large Language Model

Among the technological terms this year, the big language model is undoubtedly the most eye-catching one.

In 2023, large language models and their applications in artificial intelligence have become a hot topic in global scientific research. Their growth in scale is particularly striking, with the number of parameters jumping from the initial billions to one trillion today.

In the past, robot interactions were relatively simple and passive, with limited instructions and questions to process, making it difficult to have a truly natural conversation. However, large language models can deeply understand the meaning of language, perform complex semantic reasoning, and generate fluent and rigorous responses. If they are successfully embedded in the robot system, the robot's conversational capabilities will take a qualitative leap forward.

If deep interaction is a key step towards general artificial intelligence in multiple fields, then the large language model is the key for robots to enter a new door of intelligence.

On the one hand, if robots want to develop social attributes, communicating naturally with people is the most basic and most critical ability. The huge knowledge graph trained by the large language model can enable robots to better understand human needs and intentions, accurately capture the subtle differences and subtleties of language, and make correct and timely responses, greatly improving the friendliness of human-computer interaction.

On the other hand, based on the large language model, robots can ask questions actively, express emotions and display their personality, and can process voice, visual and other information at the same time. They are endowed with richer interactive methods and can communicate with people using images and body language. This will help robots become humans’ “intimate friends” and “all-round butlers.”

Generative AI

Generative AI is an AI technology that uses complex algorithms, models, and rules to learn from large model data sets to create new original content.

At the end of 2022, ChatGPT launched by OpenAI marked a significant progress in the field of text generation, and 2023 was also known as the breakthrough year for generative artificial intelligence.

Compared with robots in the past that mainly relied on manual programming, generative artificial intelligence opens the door for robots to achieve autonomous creation.

The generation technology of text, images, audio and video will give robots powerful creativity. Robots can automatically generate required content according to usage scenarios, rather than relying solely on manual pre-setting.

In addition, generative artificial intelligence can also give robots unique personalities. Each robot will form its own unique language style and behavior based on its training data, which will greatly enrich the diversity of robots.

Brain-computer interface

Brain-computer interface is a revolutionary human-computer interaction technology. Its mechanism of action is to bypass peripheral nerves and muscles and directly establish a new communication and control channel between the brain and external devices, so as to directly capture and analyze thinking intentions and achieve zero-delay interaction between humans and computers.

In 2023, the world's first non-human primate interventional brain-computer interface trial was successfully carried out in Beijing, which promoted the advancement of interventional brain-computer interface from laboratory prospective research to clinical application.

With the development of brain science, artificial intelligence and materials science, brain-computer interface technology continues to advance, which will play an important role in improving patients' quality of life and promoting personalized and precise medical care .

The rich signals obtained by brain-computer interfaces can also help machines better "understand" human thinking patterns and accelerate their development towards general intelligence. For example, training robots to learn and simulate the way the human brain processes information and conducts logical reasoning may be more efficient than existing machine learning models.

Flexible Manufacturing

Flexible manufacturing refers to a new production model that responds to mass customization needs. With the rise of Industry 4.0 , flexible manufacturing is becoming an important trend in the development of the manufacturing industry. The industrial Internet , robotics, and artificial intelligence have changed the production and management methods of traditional industries, making the flexible production model of "personalized customization" and "one-piece order" a reality.

Unlike traditional manufacturing models, flexible manufacturing is more flexible and intelligent, and can quickly adjust strategies according to market changes. In this process, programmable and configurable robots are no longer simple "iron arms", but can be scheduled in real time according to production needs to achieve more efficient production collaboration.

Of course, to realize this new application form of robots, it is also necessary to make technological breakthroughs in system coordination, autonomous planning, multi-machine collaboration, etc. But this is exactly the new direction that the robotics industry should face. With the layout of new infrastructure such as 5G and industrial Internet, the trend of rapid development of China's intelligent manufacturing has been formed.

In the context of ever-changing consumer demands and a global competitive environment, flexible manufacturing will play an important role in customization, response speed, and resource efficiency, and will also be a "battlefield" for many companies.

Conclusion

At present, my country's economic development has entered a new normal, and traditional manufacturing is facing a historic opportunity for upgrading and transformation. Intelligent manufacturing, which is a deep integration of new-generation information technology and manufacturing, has ushered in a golden period of development.

Driven by national strategies such as new infrastructure, industrial Internet, and intelligent manufacturing, new technologies such as 5G, artificial intelligence, and industrial Internet are accelerating their penetration into all aspects of manufacturing. Intelligent manufacturing has become a general trend, which has brought a once-in-a-lifetime development opportunity to the robotics industry.

However, judging from the current development situation, China's robotics industry still faces problems such as the need for breakthroughs in core key technologies and an imperfect ecosystem. There are still certain challenges in achieving widespread application of robots.

Therefore, while continuing to increase investment in core technologies to enable China to achieve independent control over key components and cutting-edge technologies, it is also necessary to promote digital transformation , establish a future-oriented intelligent manufacturing system, promote healthy interaction between upstream and downstream of the industrial chain, and form an "ecological closed loop" of resource integration and collaborative innovation.

I believe that through coordination and joint efforts from top to bottom, my country's robotics industry will seize the opportunities of the times, achieve new leapfrog development, and provide strong impetus for economic and social development.