在动态环境中,差速驱动移动机器人的平滑自主巡逻
Ana Šelek1, Marija Seder1, Ivan Petrović1
1Laboratory for Autonomous Systems and Mobile Robotics (LAMOR), Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究引入了移动机器人导航的新方法,使用形曲线进行平滑,无碰撞的巡逻. 该算法通过在动态环境中减少执行时间和路径长度来提高效率.
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
- 计算机科学 计算机科学
背景情况:
- 移动机器人越来越多地用于监视和搜救等任务.
- 在动态环境中有效和安全的导航对于机器人应用至关重要.
- 现有的方法可能会在重新规划和平滑的轨迹生成方面扎.
研究的目的:
- 为移动机器人提出在线平滑运动规划方法.
- 使用形曲线生成无碰撞的巡逻轨迹.
- 在动态环境中提高航行效率和安全.
主要方法:
- 开发了一种基于形曲线的在线平滑运动规划方法.
- 结合全球和地方规划战略,以适应大规模,不断变化的环境.
- 集成了一种基于黄金比例的路径平滑技术,用于避开障碍物和定向对齐.
主要成果:
- 拟议的算法显著减少了巡逻执行时间和路径长度.
- 证明了跟踪轨迹与计划路线的偏差减少.
- 通过差异驱动移动机器人验证实时操作能力和性能.
结论:
- 这种新的方法使移动机器人巡逻更顺,更有效,更安全.
- 该算法在计算上很简单,适合实时应用.
- 基于形曲线的规划为动态环境导航提供了优势.
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