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相关概念视频

Survival Tree01:19

Survival Tree

85
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
85

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BI-RRT*:一个改进的路径规划算法,用于安全可靠的移动机器人系统.

Honghui Fan1, Jiahe Huang2, Xianzhen Huang2

  • 1School of Computer Engineering, Jiangsu University of Technology, ChangZhou, JiangSu, China.

Heliyon
|March 8, 2024
PubMed
概括

一个新的路径规划算法,指导双向知情RRT* (BI-RRT*),提高了机器人的安全性和效率. 它确保路径避免障碍,提高AI系统的可靠性.

关键词:
这是双向搜索.有信息的抽样采集原始溶液的初始解决方案障碍扩张障碍扩张顺的路径是一个光滑的路径.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 路径规划算法 路径规划算法

背景情况:

  • 信息化的RRT*提供了非对称的最佳性,但由于进展缓慢和接近障碍物而受到影响.
  • 现有的路径规划方法需要提高现实世界的AI应用程序的效率和安全性.

研究的目的:

  • 引入一种新的路径规划算法,指导双向信息RRT* (BI-RRT*),旨在提高安全性,效率和可靠性.
  • 解决信息化的RRT*中逐步进步和障碍的接近性的局限性.

主要方法:

  • 该BI-RRT*算法包含了一个扩展范围,用于避开障碍物,从起点和目标点进行双向勘探,以及立方斜线平滑用于轨迹改进.
  • 算法验证是使用机器人操作系统 (ROS) 中的模拟进行的.

主要成果:

  • 模拟和实验测试证实,与现有方法相比,BI-RRT*显著提高了路线规划能力.
  • 该算法成功生成了路径,保持了与障碍物的安全距离,减少了碰撞风险.

结论:

  • BI-RRT*为人工智能系统提供了强大可靠的路径规划解决方案,优先考虑安全性和效率.
  • 算法的设计通过诸如无障碍路径生成和严格验证等功能来提高可靠性.