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

相关概念视频

Rational Emotive Behavior Therapy01:24

Rational Emotive Behavior Therapy

44
Cognitive-behavioral therapies (CBTs) are grounded in the belief that our thoughts profoundly influence our emotions and actions. Advocates of CBT emphasize three core assumptions: first, that cognitions are identifiable and measurable; second, that they are central to psychological functioning; and third, that irrational or maladaptive beliefs can be replaced with rational and adaptive ones. This transformative approach to therapy has paved the way for specific models such as Albert...
44

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

RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention.

PloS one·2025
Same author

Multiple strategies improved spider wasp optimization for engineering optimization problem solving.

Scientific reports·2024
Same author

Online control parameter optimization design for multi-machine coordinated loading system of hazardous substances.

ISA transactions·2024
Same author

Color changing object recognition and grabbing technology based on crystal butterfly algorithm and adaptive imitation.

iScience·2024
Same author

Hemodynamic Solution Computation and Pathological Analysis in the Circle of Willis.

Journal of medical systems·2018
Same author

Clinical analysis of perioperative nursing of aortic coarctation.

Minerva pediatrica·2015

相关实验视频

Updated: Jun 12, 2025

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

11.4K

基于PTM算法为机器人改进的RRT行为规划方法.

Chuanyu Cui1, Zuoxun Wang2, Jinxue Sui1

  • 1School of Information and Electronic Engineering, Shandong Technology and Business University, 191 Binhai Middle Road, Yantai, 264005, Shandong, China.

Scientific reports
|September 19, 2024
PubMed
概括
此摘要是机器生成的。

研究人员为不稳定的高阶非线性系统开发了一种新的快速搜索随机树策略. 这种方法提高了通过模拟验证的机器人系统的路径规划稳定性和效率.

关键词:
分类差距过网络层的分类差距.复杂的障碍功能复杂的障碍功能死亡地带路径简化高级利普希茨向量场动态系统的动态系统.路径标记回溯策略 路径标记回溯策略

更多相关视频

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.3K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.3K

相关实验视频

Last Updated: Jun 12, 2025

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

11.4K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.3K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.3K

科学领域:

  • 机器人和控制系统 机器人和控制系统
  • 非线性动力学是一种非线性动力学.
  • 人工智能在路径规划中的作用

背景情况:

  • 高阶非线性系统经常表现出不稳定的路径质量,这给机器人应用带来了挑战.
  • 现有的路径规划方法与复杂的障碍环境作斗争,并确保全球数据稳定性.

研究的目的:

  • 引入新的快速搜索随机树策略,以改善多维高阶非线性系统的路径规划.
  • 为了提高在复杂环境中运行的多度自由度机器人的路径设计的稳定性和效率.

主要方法:

  • 开发一个高阶的利普希茨向量场动态系统来建模机器人动态.
  • 实施一个分类LSTM (长短期内存) 网络层用于数据选和全球稳定性保证.
  • 整合视觉传感器用于路径标记,回溯和死亡区域简化.

主要成果:

  • 拟议的战略有效地解决了高阶非线性系统中不稳定的路径质量问题.
  • 分类LSTM层成功选训练数据,确保路径设计的全球稳定性.
  • 视觉传感器集成有助于强大的路径标记和简化策略.

结论:

  • 新的快速搜索随机树策略为复杂的非线性系统的机器人路径规划提供了重大进展.
  • 该方法在提高路径稳定性,效率和适应动态环境的能力方面表现出有效性.