面向智能机器人的类脑定位框架及实现方法

Brain-inspired localization framework and implementation methods for intelligent robots

李筱 ¹窦家锐 ²韩冰心 ³古富强 ²卢惠民 ⁴余芳文⁵

扫码查看

作者信息

1. 清华大学精密仪器系,北京 100084;国防科技大学智能科学学院,长沙 410073
2. 重庆大学计算机学院,重庆 400044
3. 91515部队,海南三亚 572000
4. 国防科技大学智能科学学院,长沙 410073
5. 清华大学精密仪器系,北京 100084
折叠

摘要

智能机器人需要与环境进行高效实时交互,这对位置表征的多样性和定位的实时性、适应性、鲁棒性及低功耗等提出了新的需求,给传统定位技术带来了许多新的挑战.借鉴大脑定位神经环路机理所发展的类脑定位技术为解决这些难题提供了新的技术路径.重点阐述了类脑定位原理及方法,探讨了类脑定位的系统框架及计算模型,并展望了类脑定位技术的未来发展.

Abstract

Intelligent robots require efficient real-time interaction with the environment,which places new demands on the diversity of location representations and on the real-time,adaptability,robustness,and low power consumption of localization,leading to many new challenges for tradi-tional localization technologies.The development of brain-inspired localization technologies,based on the mechanisms of the neural localization circuits in the brain,provides a new solution to ad-dress these problems.The principle and methods of brain-inspired localization are elaborated,the system framework and computational models of brain-inspired localization are discussed,and the future development of brain-inspired localization is projected.

关键词

类脑定位/大脑定位神经环路/智能机器人/类脑计算芯片/类脑感知芯片

Key words

Brain-inspired localization/Neural localization circuit in the brain/Intelligent robot/Brain-inspired computing chip/Brain-inspired sensing chip

引用本文复制引用

出版年

2024

导航定位与授时

CSTPCDCSCD

ISSN：

段落导航