Towards a human-robot teaming system for exploration of environment

Fan Bu, Yan Wu
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Abstract

The use of robots has been proposed as promising human assistants in accomplishing tasks that are otherwise too tough or dangerous to be executed by human alone. As robots in different forms have their differentiating strengths, a system that uses a combination of these robots can be more robust and resilient in achieving its mission. For example, UAVs can be used to quickly explore an unknown environment while ground robots can be used to navigate through the environment, clearing obstacles and potential dangers for human to enter. In this work, we design a unifying framework to allow human to control and accomplish an exploration mission using heterogeneous robot types. A prototype system is implemented using the Google Tango to control an UAV and a wheeled robot for the human to perform environment mapping. Preliminary experiments have been carried out to study the feasibility of the system.
面向环境探索的人机组队系统
机器人的使用已经被提议作为有前途的人类助手来完成任务,否则过于艰难或危险,无法由人类单独执行。由于不同形式的机器人有其不同的优势,使用这些机器人组合的系统在完成任务时可以更加稳健和有弹性。例如,无人机可用于快速探索未知环境,而地面机器人可用于在环境中导航,清除障碍物和潜在危险,供人类进入。在这项工作中,我们设计了一个统一的框架,允许人类控制和完成使用异构机器人类型的探索任务。使用Google Tango实现了一个原型系统,用于控制无人机和轮式机器人,供人类执行环境映射。为了研究该系统的可行性,进行了初步实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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