室内环境下移动机器人的人类感知路点规划器

Sungwoo Yang, Sumin Kang, Myunghyun Kim, D. Kim
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引用次数: 0

摘要

随着机器人在室内环境中应用的增加,人与机器人在室内环境中共存已经成为一种普遍现象。大多数人类感知导航算法只考虑机器人视野中的人类。但是,在l型走廊的情况下,人类突然出现的可能性很大。为了解决这种情况,我们提出了一种改进的角点检测算法和一种新的路点规划器WPC。通过PedSim和Gazebo仿真验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-Aware Waypoint Planner for Mobile Robot in Indoor Environments
As the utilization of robots in indoor environments increases, it has become common for humans and robots to co-exist in such environments. Most human-aware navigation algorithms only considered humans in the robot's field of view. However, in cases of L-shape corridors, there is a high possibility that human suddenly appears. To deal with this situation, we propose an improved corner detection algorithm and a novel waypoint planner, WPC. The proposed algorithm is validated through simulations using PedSim and Gazebo.
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