Home Technology peripherals AI Four aspects promote the healthy growth of the robot industry

Four aspects promote the healthy growth of the robot industry

Apr 11, 2023 pm 09:16 PM
AI robot

The 2022 World Robot Conference, which concluded not long ago, focused on the innovative applications of robots in many fields such as manufacturing, construction, medical care, agriculture, mining, logistics, etc., and became an important window to see the development trend of my country's robot industry.

In recent years, my country's robot industry has continued to maintain a good momentum of rapid growth, and has achieved important breakthroughs in technology, products and scale.

Robots are known as "the crown jewel of the manufacturing industry", and their research and development, manufacturing, and application have become important indicators of a country's technological innovation level and high-end manufacturing level. According to the "China Robot Industry Development Report (2022)", it is expected that my country's robot market will reach US$17.4 billion in 2022, with a five-year average annual growth rate of 22%.

Four aspects promote the healthy growth of the robot industry

In terms of cutting-edge innovative technologies for robots, technologies such as medical minimally invasive robots, new generation collaborative robots, and high-end bionic robots remain at the international forefront and are expected to be used in home service robots and medical rehabilitation in the future. Robots, industrial vision, cloud service robots and other fields have achieved international advanced levels.

The Ministry of Industry and Information Technology and other ministries and commissions have also jointly released a series of related plans such as the "14th Five-Year Plan for Intelligent Manufacturing Development" and the "14th Five-Year Plan for Robot Industry Development", treating the robot industry as a strategic emerging The industry provides key support, which plays an important leading and promoting role in talent training, technological progress, manufacturing transformation and upgrading, etc.

While industrial and technological development is facing good opportunities, the development of my country's robot industry is also facing many challenges. At the core technology level of robots, some core technologies have not yet been effectively broken through, some key technologies have shortcomings, and the "stuck neck" phenomenon still exists; at the product positioning level of robots, the functional positioning of some products is not clear enough, and the application scenarios of robots are insufficient. , similar products are clustered together, the robot has a single function, and the pain points to be solved are not clear enough; in terms of the scale of robot companies, the current leading companies are limited in scale. Compared with industrial robots, the overall revenue scale of leading service robot companies is low.

In this regard, policies must be implemented from multiple angles:

First of all, we must strengthen basic research, form an innovation ecosystem for core robot technologies, and promote a virtuous cycle and development of technology and industry. It is necessary to continue to conquer relevant core technologies to achieve independent controllability, and further conquer core key technologies such as intelligent perception, human-computer interaction, compliant control, operating systems, robot programming and simulation, system integration and application technology. Universities, scientific research institutes and other units and robot companies should closely integrate the "industry, academia, research and application" to jointly tackle key problems. According to the characteristics of multi-disciplinary and multi-field integrated development of robots, a variety of new models of "industry-university-research-application" transformation can be formed to accelerate the application and transformation of cutting-edge innovative results.

Secondly, we must further leverage the leading role of leading robot companies and accelerate the application and promotion of products. We should give full play to the demonstration and leading role of leading enterprises and accelerate the construction of service robot scenarios such as medical and health care, community services, e-commerce unmanned distribution, unmanned vending, commercial cleaning and inspection, so that there will be greater market space for the innovative development of related industries. Focusing on the urgent needs in the fields of epidemic prevention and control, medical rehabilitation, and special services, a green channel mechanism for robot market access will be established, the bidding process will be simplified, and the approval cycle will be shortened while ensuring safety and quality. Strengthen supervision and regulations, give priority to encouraging the marketing and promotion of intelligent robot products that meet certain threshold conditions, and ensure the long-term and stable development of the robot industry.

Thirdly, it is necessary to strengthen the training of talents in the field of robots and explore a new model of robot education that integrates industry and education. Focusing on the urgently needed professional fields of robots, strengthen the training of high-level professional talents with interdisciplinary backgrounds, conduct innovative explorations in the setting of robot-related colleges and majors in universities, establish research platforms such as robot innovation centers, and build a new model of robot academic talent education. Strengthen exchanges and cooperation between schools and enterprises in the field of robotics, break the demand barriers between campuses and the market, set up internship bases in leading robotics companies and advantageous companies, and improve the scale and quality of training for robotics application talents.

Finally, it is necessary to further strengthen the coordinated and stable development of the robot industry chain and supply chain to achieve independent control of the industrial chain. Relying on the intervention of advantageous areas of my country's robot industry, mature park carriers and active capital, we will promote the construction and development of a public service platform for robots in order to provide complete local supply of robots, product certification and quality testing services. We should give full play to the role of robots as industry platforms and alliances, promote the efficient connection between scientific and technological innovation entities such as universities and scientific research institutes and robot application companies, and promote collaborative innovation in the robot industry chain based on problems and needs.

The above is the detailed content of Four aspects promote the healthy growth of the robot industry. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions Jun 28, 2024 am 03:51 AM

This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Context-augmented AI coding assistant using Rag and Sem-Rag Context-augmented AI coding assistant using Rag and Sem-Rag Jun 10, 2024 am 11:08 AM

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations Jun 11, 2024 pm 03:57 PM

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Seven Cool GenAI & LLM Technical Interview Questions Seven Cool GenAI & LLM Technical Interview Questions Jun 07, 2024 am 10:06 AM

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework Jul 25, 2024 am 06:42 AM

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Five schools of machine learning you don't know about Five schools of machine learning you don't know about Jun 05, 2024 pm 08:51 PM

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time Jul 17, 2024 pm 06:37 PM

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams Jul 15, 2024 pm 12:21 PM

According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G

See all articles