Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol. 4 Issue 30 (2019) 1-10
Denis Kleyko, Ross W. Gayler, Evgeny Osipov
- 发表年份
- 2020
- 访问权限
- 开放获取
摘要
This correspondence comments on the findings reported in a recent Science Robotics article by Mitrokhin et al. [1]. The main goal of this commentary is to expand on some of the issues touched on in that article. Our experience is that hyperdimensional computing is very different from other approaches to computation and that it can take considerable exposure to its concepts before attaining practically useful understanding. Therefore, in order to provide an overview of the area to the first time reader of [1], the commentary includes a brief historic overview as well as connects the findings of the article to a larger body of literature existing in the area.
关键词
相关论文
如何缓解越野环境中语义分割的分布偏移
Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon 等 5 位作者
2026
基于原型模糊推理与证据融合的不确定性引导工业机器人可进化识别框架
Yanrun Zhou, Zihao Lei, Guangrui Wen 等 7 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于点云配准的非破坏性高分辨率涂层厚度三维扫描测量
Simon Duenser, Ivo Aschwanden, Raamadaas Krishnadas 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026
迈向智能机器人时代:用于高级感知系统的多模态柔性触觉传感器
Sili Ding, Feng Xu, Jie Chen 等 6 位作者
Progress in Materials Science · 2026