| 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。 |
| 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 |
| DOI： |
|
| 基金项目:国家自然科学基金（42201456） |
|
| Brain-inspired localization framework and implementation methods for intelligent robots |
| LI Xiao,DOU Jiarui,HAN Bingxin,GU Fuqiang,LU Huimin,YU Fangwen |
| (Department of Precision Instrument, Tsinghua University, Beijing 100084, China; College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;College of Computer Science, Chongqing University, Chongqing 400044, China;Unit 91515 of the PLA, Sanya, Hainan 572000, China) |
| 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 traditional 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 address 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. |
| Key words: Brain-inspired localization Neural localization circuit in the brain Intelligent robot Brain-inspired computing chip Brain-inspired sensing chip |
