支持移动机器人在动态室内环境中寻找路径的影响映射
Paweł Stawarz1, Dominik Ozog1, Wojciech Łabuński2
1Department of Computer and Control Engineering, Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, 35-959 Rzeszow, Poland.
这项研究探讨了使用影响映射用于现实世界的室内路径寻找. 将这种视频游戏算法与传感器数据相结合,显示出动态环境的前景.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 计算几何学的计算几何学
背景情况:
- 路径识别基于时间或距离等标准来确定最佳路线.
- 动态环境,在动态环境中,拓在实时变化,带来了重要的路径发现挑战.
- 影响力映射,一种来自视频游戏的技术,在现实世界的应用中取得了有限的成功.
研究的目的:
- 评估影响映射对室内环境实时路径查找的有效性.
- 为了确定是否将影响映射与远程传感器数据相结合,可以在动态设置中提高性能.
主要方法:
- 该研究适应了影响映射算法用于实际的室内导航.
- 来自远程传感器的实时数据被整合起来,以更新环境拓.
- 算法的路径查找性能在模拟的动态室内场景中进行了评估.
主要成果:
- 随着传感器数据的增强,影响映射显示了动态室内路径寻找的潜力.
- 实时环境信息的整合提高了算法的适应性.
- 最初的结果表明可行性,但需要在各种现实条件下进一步验证.
结论:
- 影响映射与遥感相结合,为动态室内路径寻找提供了一种可行的方法.
- 这种混合方法对在不断变化的环境中需要实时导航的应用非常有希望.
- 需要进一步的研究来优化算法并验证其在各种室内环境中的稳定性.
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