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GestureMoRo:基于手势识别的自主移动机器人远程操作的算法.

Lei Chen¹, Chunxu Li^2,3, Ashraf Fahmy⁴

¹College of Mechanical and Electrical Engineering, Hohai University, Changzhou, 213200, China.

Scientific reports

|March 15, 2024

概括

这项研究引入了一种手势识别系统,用于使用LeapMotion传感器控制移动机器人. 该GestureMoRo算法和高斯过器增强控制稳定性和机器人运动.

关键词:

斯过器是高斯式过器.在手势识别,手势识别.姿态MoRoRo 的意思跳跃运动 (LeapMotion) 是一个移动机器人移动机器人远程操作是远程操作.

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科学领域:

机器人技术机器人技术机器人技术
人与计算机的交互
计算机视觉计算机视觉

背景情况:

手势提供了直观的人类沟通.
基于手势的远程操作系统提供了用户友好的控制.
现有系统可能缺乏对噪音输入的稳定性.

研究的目的:

开发一个强大的移动机器人远程操作系统,使用手势识别.
设计和实施一种新的手势识别算法 (GestureMoRo).
为了提高机器人运动控制的稳定性和可靠性.

主要方法:

使用一个LeapMotion传感器来获取手势数据.
为系统通信开发了一个客户端/服务器架构.
实现了GestureMoRo算法用于手势机器人协会.
应用了高斯过器来消除手势数据和减轻手掌动效应.

主要成果:

成功为WATER2移动机器人建立了一个基于手势的远程操作控制系统.
该GestureMoRo算法展示了有效的手势到机器人命令映射.
高斯过通过减少运动波动,显著提高了机器人运动的稳定性和稳定性.
实验验证证证实了该系统的有效性和实用性.

结论:

开发的手势识别系统为移动机器人远程操作提供了一种实用且稳定的方法.
整合LeapMotion,GestureMoRo和高斯过可以提高控制精度和系统可靠性.
这种方法有可能实现机器人系统的直观和高效的远程控制.