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安全和强大的地图更新,用于动态环境中的长期操作
Elisa Stefanini1,2, Enrico Ciancolini3, Alessandro Settimi3
1Soft Robotics for Human Cooperation and Rehabilitation, Fondazione Istituto Italiano di Tecnologia, Via Morego, 30, 16163 Genova, Italy.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了一种基于激光雷达的安全算法,用于更新动态环境中的占用网格地图. 它通过准确估计机器人姿势并从定位错误中恢复,确保了强大的自主导航.
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
- 计算机视觉 计算机视觉
背景情况:
- 在动态环境中持续自主导航仍然是长期移动机器人应用的挑战.
- 地图更新对于可靠的环境表示至关重要,但由于机器人姿势估计不正确,可能会失败,导致定位错误和地图不准确.
研究的目的:
- 为动态环境提出基于激光雷达的安全占用网格地图更新算法.
- 解决机器人姿势估计中的不确定性,并确保稳健的长期运营.
- 即使机器人丢失时,也可以恢复姿势,保持地图连贯性.
主要方法:
- 开发了一种基于Lidar的新型占用网格地图更新算法.
- 该算法将机器人姿势估计中的不确定性纳入.
- 它包括一个姿势恢复机制,用于机器人失去定位的情况.
主要成果:
- 拟议的方法在动态环境中表现出稳健性,能够处理由动态障碍引起的临时变化.
- 它确保了高质量的地图和可靠的定位性能.
- 成功的姿势恢复通过模拟和现实世界的实验得到了验证.
结论:
- 开发的算法增强了长期移动机器人应用中的自主导航的安全性和连续性.
- 它提供了一个连贯而准确的地图表现,尽管有动态的环境变化,并提出估计不确定性.
- 系统能够从本地化故障中恢复,这大大提高了运营可靠性.
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