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机器人AI芯片设计技术综述

郜锦阳 樊震东 包敏杰 王珂 李瑞峰 康鹏

集成电路与嵌入式系统2024,Vol.24Issue(11):60-77,18.
集成电路与嵌入式系统2024,Vol.24Issue(11):60-77,18.DOI:10.20193/j.ices2097-4191.2024.0031

机器人AI芯片设计技术综述

Review of AI chips design for robotics

郜锦阳 1樊震东 1包敏杰 1王珂 1李瑞峰 1康鹏2

作者信息

  • 1. 哈尔滨工业大学机器人技术与系统全国重点实验室,哈尔滨 150001
  • 2. 江淮前沿技术协同创新中心,合肥 230000
  • 折叠

摘要

Abstract

The combination of Robots and artificial intelligence will lead the transformation of new intelligent technologies.Furthermore,as a crucial component of artificial intelligence,neural networks demonstrate immense potential in robotic perception.However,the in-creasing complexity of AI algorithms and the prominent energy efficiency bottleneck of general-purpose processors such as CPUs pose significant challenges.Traditional processing chips fail to effectively accommodate the inference computing tasks of large-scale neural networks.In recent years,robotic AI chips,with high computing performance and low power consumption,have emerged as an ideal choice for deploying of neural networks in robot systems due to their,attracting widespread attention.This article focusing on robotic applications,studies the current status of AI algorithms,reviews the latest advances in AI chip design technology,proposes technical difficulties and feasible technical routes,and discusses the technical trends and challenges in the design of robotic AI chips.

关键词

机器人/人工神经网络/人工智能芯片/软硬件协同设计/硬件加速器

Key words

robots/neural network/artificial intelligence chips/software and hardware co-design/hardware accelerator

分类

信息技术与安全科学

引用本文复制引用

郜锦阳,樊震东,包敏杰,王珂,李瑞峰,康鹏..机器人AI芯片设计技术综述[J].集成电路与嵌入式系统,2024,24(11):60-77,18.

基金项目

江淮前沿技术协同创新中心追梦基金课题(2023-ZM01Z026). (2023-ZM01Z026)

集成电路与嵌入式系统

OACSTPCD

1009-623X

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