我国智能机器人核心芯片技术发展战略研究

我国智能机器人核心芯片技术发展战略研究

摘要

智能机器人正在引领全球新一轮的科技革命和产业变革,培育并推进我国智能机器人核心芯片技术及产业发展,有助于产业优化升级并实现生产力跃升。本文阐述了智能机器人核心芯片技术对于推动技术自主可控、实现经济高质量发展、满足居民美好生活需要、提升国家核心竞争力等方面的重要价值;梳理了相关政策、技术、产业等的国际进展,分析了我国发展智能机器人核心芯片的基础优势和面临的问题;以多架构路线、技术方案比对的方式,论证了我国智能机器人芯片技术发展路线,据此提出领域发展策略,形成面向2035的重点任务与发展路线图。研究建议,将智能机器人芯片自主可控发展上升为国家战略,明确顶层设计;设立智能机器人芯片重大科技专项,加大科研经费投入;出台激励智能机器人芯片技术研究和产业应用的政策,牵引产业链升级;落实智能机器人芯片人才培养和发展措施,推动技术及产业健康发展。

Abstract

Intelligent robots are leading a new round of technological revolution and industrial transformation. Promoting the intelligent robot core chip technology and industry is strategically significant for industrial upgrading and productivity improvement in China. In this study, we illustrate the strategic significance of the intelligent robot core chip technology in China in promoting technological independence, realizing high-quality economic development, satisfying residents' need for a better life, and promoting a nation's core competitiveness. Additionally, we review the development status of chips for intelligent robots in terms of policy, technology, and industry, and analyze the advantages and problems of developing intelligent robot chips in China. On this basis, the development route of intelligent robot chips is analyzed, and the development strategic goals of intelligent robot chip technology for 2025, 2030, and 2035 are proposed. Moreover, we propose the key tasks and strategic goals of intelligent robot core chips in China. We suggest that the independent and controllable development of intelligent robot chips should be elevated to a national strategy; major scientific and technological projects should be established for intelligent robot chips; policies should be introduced to encourage intelligent robot chip technology research and industrial applications; and high-level talent training should be implemented.

关键词

智能机器人 /

芯片技术 /

产业链 /

自主可控 /

发展路线图

Keywords

intelligent robot /

chip technology /

industrial chain /

independently controllable /

development roadmap

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用

莫洋,

王耀南,

刘杰.

我国智能机器人核心芯片技术发展战略研究. 中国工程科学. 2022, 24(4): 62-73 https://doi.org/10.15302/J-SSCAE-2022.04.007

{{custom_sec.title}}

{{custom_sec.title}}

{{custom_sec.content}}

参考文献

原文顺序

|

文献年度倒序

|

文中引用次数倒序

[1]

高蕾, 符永铨,李东升, 等. 我国人工智能核心软硬件发展战略研究 [J]. 中国工程科学, 2021, 23(3): 90‒97.

Gao L, Fu Y Q, Li D S, et al. Development strategy for the core software and hardware of artificial intelligence in China [J]. Strategic Study of CAE, 2021, 23(3): 90‒97.

[2]

黄强, 孟非, 余张国, 等. 陆空协同多模态智能机器人系统发展战略研究 [J]. 中国工程科学, 2021, 23(5): 116‒121.

Huang Q, Meng F, Yu Z G, et al. Development strategy for air‍–ground collaborative multi-modal intelligent robot system [J]. Strategic Study of CAE, 2021, 23(5): 116‒121.

[3]

商惠敏. 人工智能芯片产业技术发展研究 [J]. 全球科技经济瞭望, 2021, 36(12): 24‒30.

Shang H M. Research on technology development of artificial intelligence chip industry [J]. Global Science, Technology and Economy Outlook, 2021, 36(12): 24‒30.

[4]

"先进半导体材料及辅助材料"编写组.中国先进半导体材料及辅助材料发展战略研究 [J]. 中国工程科学, 2020, 22(5): 10‒19.

Writing Group of Advanced Semiconductor Materials and Auxiliary Materials. Strategic study on the development of advanced semiconductor materials and auxiliary materials in China [J]. Strategic Study of CAE, 2020, 22(5): 10‒19.

[5]

中华人民共和国工业和信息化部. 十五部门关于印发《"十四五"机器人产业发展规划》的通知 [EB/OL]. (2021-12-21)[2022-03-23].

Ministry of Industry and Information Technology of the People's Republic of China. Notice of fifteen departments for regarding the issuance of the 14th Five-Year Plan for robot industry development plan [EB/OL]. (2021-12-21)‍[2022-03-23].

[6]

Murray S, Floyd-Jones W, Qi Y, et al. Robot motion planning on a Chip [C]. Ann Arbor: Robotics: Science and Systems, 2016.

[7]

王耀南. 人工智能赋能无人系统 [J]. 智能系统学报, 2021, 16(1): 6.

Wang Y N. Artificial intelligence enhances unmanned systems [J]. CAAI Transactions on Intelligent Systems, 2021, 16(1): 6.

[8]

Pei J, Deng L, Song S, et al. Towards artificial general intelligence with hybrid tianjic chip architecture [J]. Nature, 2019, 572(7767): 106‒111.

[9]

Liu Y, Duan X, Shin H J, et al. Promises and prospects of two-dimensional transistors [J]. Nature, 2021, 591(7848): 43‒53.

[10]

Mirhoseini A, Goldie A, Yazgan M, et al. A graph placement methodology for fast chip design [J]. Nature, 2021, 594(7862): 207‒212.

[11]

前瞻产业研究院. 2020年中国半导体设备行业市场研究报告 [R]. 深圳: 前瞻产业研究院, 2020.Prospective Industry Research Institute. Market research report of Chinese semiconductor equipment industry in 2020 [R]. Shenzhen: Prospective Industry Research Institute, 2020.

[12]

中国电子学会. 2021年中国机器人产业发展报告 [R]. 北京: 中国电子学会, 2021.Chinese Institute of Electronics. Development report of Chinese robot industry in 2021 [R]. Beijing: Chinese Institute of Electronics, 2021.

[13]

陶建华, 陈云霁. 类脑计算芯片与类脑智能机器人发展现状与思考 [J]. 中国科学院院刊, 2016, 31(7): 803‒811.

Tao J H, Chen Y J. Development status and thinking of brain like computing chip and brain like intelligent robot [J]. Bulletin of Chinese Academy of Sciences, 2016, 31(7): 803‒811.

[14]

Lung H L. AI: From deep learning to in-memory computing [C]. San Jose: Conference on Metrology, Inspection, and Process Control for Microlithography, 2019.

[15]

Hung J M, Li X, Wu J, et al. Challenges and trends in developing nonvolatile memory-enabled computing chips for intelligent edge devices [J]. IEEE Transactions on Electron Devices, 2020, 67(4): 1444‒1453.

[16]

林钰登, 高滨, 王小虎, 等. 基于新型忆阻器的存内计算 [J]. 微纳电子与智能制造, 2019, 1(2): 35‒46.

Lin Y D, Gao B, Wang X H, et al. In-memory computing based on novel memristor [J]. Micro/nano Electronics and Intelligent Manufacturing, 2019, 1(2): 35‒46.

[17]

Yao P, Wu H Q, Gao B, et al. Fully hardware-implemented memristor convolutional neural network [J]. Nature, 2020, 577(7792): 641‒646.

[18]

Le Gallo M, Sebastian A, Mathis R, et al. Mixed-precision in-memory computing [J]. Nature Electronics, 2018, 1(4): 246‒253.

[19]

Wu P, Su J W, Chung Y L, et al. A 28nm 1Mb time-domain computing-in-memory 6T SRAM macro with 6.6ns latency 1241 GOPS and 37.01 TOPS/W for 8b-MAC operations for Edge-AI devices [C]. Beijing: IEEE International Solid-State Circuits Conference, 2022: 190‒192.

[20]

国务院办公厅. 国务院办公厅关于印发新时期促进集成电路产业和软件产业高质量发展若干政策的通知 [EB/OL]. (2020-08-04)[2022-03-23].

General Office of the State Council. Opinion of General Office of the State Council for promoting the high-quality development of integrated circuit industry and software industry in the new period [EB/OL]. (2020-08-04)‍[2022-03-23].

基金

中国工程院咨询项目(2021-XY-41)

相关推荐