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一个基于图像的人机器人避免碰撞方案:一个概念验证
Ziyang Xie1, Lu Lu1, Hanwen Wang1
1Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA.
概括
本研究介绍了一种计算机视觉系统,用于在工业环境中避免人机碰撞. 使用标准的RGB摄像头,该系统通过主动防止碰撞来提高安全性,并为大型工作场所提供更广泛的检测范围.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 职业安全 在职业安全.
背景情况:
- 在工业环境中,人机交互存在重大安全风险.
- 人与机器人之间的碰撞可能导致伤害和操作中断.
研究的目的:
- 开发一种可靠且具有成本效益的避免人机碰撞系统.
- 通过积极的碰撞预防,提高现代工业工厂的职业安全.
主要方法:
- 使用标准RGB相机实现计算机视觉系统.
- 开发用于主动检测和预防人机碰撞的算法.
主要成果:
- 该系统有效地防止了人类和机器人之间的危险碰撞.
- 使用RGB摄像机提供了一个方便和经济有效的解决方案.
- 与之前的研究相比,拟议的方法显著扩大了有效检测范围.
结论:
- 开发的系统为避免人机碰撞提供了实用和高效的解决方案.
- 这项技术可以通过人机协作在工业环境中提高安全性和生产率.
- 扩大的检测范围使该系统适合监控大型工作场所.
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