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Hitchhiking Robots: A Collaborative Approach for Efficient Multi-Robot Navigation in Indoor Environments

机译:搭便车机器人:一种在室内环境中高效多机器人导航的协作方法

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摘要

Hitchhiking is a means of transportation gained by asking other people for a (free) ride. We developed a multi-robot system which is the first of its kind to incorporate hitchhiking in robotics, and discuss its advantages. Our method allows the hitchhiker robot to skip redundant computations in navigation like path planning, localization, obstacle avoidance, and map update by completely relying on the driver robot. This allows the hitchhiker robot, which performs only visual servoing, to save computation while navigating on the common path with the driver robot. The driver robot, in the proposed system performs all the heavy computations in navigation and updates the hitchhiker about the current localized positions and new obstacle positions in the map. The proposed system is robust to recover from ‘driver-lost’ scenario which occurs due to visual servoing failure. We demonstrate robot hitchhiking in real environments considering factors like service-time and task priority with different start and goal configurations of the driver and hitchhiker robots. We also discuss the admissible characteristics of the hitchhiker, when hitchhiking should be allowed and when not, through experimental results.
机译:搭便车是通过要求其他人搭便车而获得的一种交通工具。我们开发了一种多机器人系统,这是首次将搭便车纳入机器人技术,并讨论了其优势。通过完全依靠驾驶员机器人,我们的方法允许旅行者机器人在导航中跳过冗余计算,例如路径规划,定位,避障和地图更新。这允许仅执行视觉伺服的搭便车机器人在与驾驶员机器人共同路径上导航时节省了计算量。在所提出的系统中,驾驶员机器人在导航中执行所有繁重的计算,并更新有关地图中当前局部位置和新障碍物位置的旅行者。拟议的系统具有强大的功能,可以从由于视觉伺服故障而导致的“驾驶员丢失”情况中恢复过来。我们演示了在实际环境中考虑了服务时间和任务优先级等因素的驾驶员搭便车,以及驾驶员和搭便车机器人的不同启动和目标配置。我们还将通过实验结果讨论搭便车的允许特性,何时应该允许搭便车,何时不允许搭便车。

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