Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 11, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

机器人技术的新方法

R A Brooks

    Science (New York, N.Y.)
    |September 13, 1991
    PubMed
    概括

    新的自主机器人方法将传感和行动整合为智能. 这些系统在没有传统的象征性AI的情况下利用广泛的浅层网络,使机器人能够在非结构化的环境中工作.

    相关概念视频

    您也可能阅读

    相关文章

    通过共同作者、期刊和引用图与本文相关的文章。

    排序
    Same author

    Experimental and numerical investigations on the impact behaviour of pristine and patch-repaired composite laminates.

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2022
    Same author

    Cell response to plasma electrolytic oxidation surface-modified low-modulus β-type titanium alloys.

    Colloids and surfaces. B, Biointerfaces·2019
    Same author

    Cell structure, stiffness and permeability of freeze-dried collagen scaffolds in dry and hydrated states.

    Acta biomaterialia·2016
    Same author

    Parotid fluid, serum, and urine 17-hydroxycorticosteroids following a two-hour intravenous infusion of adrenocorticotropin.

    Project report. USAF School of Aviation Medicine·2014
    Same author

    Parotid fluid, serum, and urine 17-hydroxycorticosteroids following the intramuscular administration of repository corticotropin.

    Project report. USAF School of Aviation Medicine·2014
    Same author

    Evaluation of taper joints with combined fatigue and crevice corrosion testing: comparison to human explanted modular prostheses.

    Materials science & engineering. C, Materials for biological applications·2013

    科学领域:

    • 机器人和人工智能 机器人和人工智能

    背景情况:

    • 传统的机器人和人工智能在非结构化环境中面临着挑战.
    • 现有的智能系统通常依赖于深层次的象征性处理.

    研究的目的:

    • 探索构建自主机器人智能系统的新方法.
    • 检查新方法和传统的学术机器人/AI之间的关系.

    主要方法:

    • 开发具有感知与行动紧密结合的架构.
    • 使用简单的计算元素的广泛,浅的网络.
    • 实现表征,期望,计划,目标和学习,而不需要中央的象征性操纵.

    主要成果:

    • 在非结构化环境中运行的机器人中表现出智能.
    • 展示了积极的感知和世界交互动态的重要性.
    • 突出了传统的缺失,抽象的象征性表征.

    结论:

    • 新方法为自主机器人提供了传统人工智能的可行替代方案.
    • 感知和行动的整合是新兴智能的关键.
    • 需要持续的讨论来评估和比较这些新的方法.

    相关实验视频

    Last Updated: Jul 11, 2026

    Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
    05:47

    Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

    Published on: August 29, 2025