Robot Communication Via Motion: A Study on Modalities for Robot-to-Human Communication in the Field
Robot Communication Via Motion: A Study on Modalities for Robot-to-Human Communication in the Field
复制标题
通过运动进行机器人通信：现场机器人与人类通信方式的研究
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Junaed Sattar
中科院分区：
文献类型：
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作者：
Michael Fulton;Chelsey Edge;Junaed Sattar
在这篇文章中，我们提出，实施，并评估一个基于运动的通信系统的现场机器人：机器人在动态的，非结构化的，户外环境中运行。我们进行了两个试点研究，以指导我们的系统的发展，然后评估它旁边的音频通信系统，液晶显示器，和闪烁的LED系统。我们比较了这四个系统的使用与三个不同的机器人从多达五个不同的角度的互动在一个大型的研究管理通过亚马逊机械土耳其。我们在两个方面有助于开发一个更强大的形式的领域人机交互，其中机器人可以选择最合适的通信矢量为给定的情况和上下文。首先，我们提供了一个基于运动的通信系统，为现场机器人沿着与三个基线系统，对它进行测试。其次，我们提出了我们的发展这个运动系统的结果，表明它是更容易学习比基线闪烁LED系统，适用于水下，空中和陆地现场机器人，和负面影响较少的观点比其他通信方法。
In this article, we propose, implement, and evaluate a motion-based communication system for field robots: robots that operate in dynamic, unstructured, outdoor environments. We perform two pilot studies to guide our development of the system, then evaluate it alongside an audio communication system, an LCD display, and a system of blinking LEDs. We compare the usage of these four systems with three different robots from up to five different viewpoints of interaction in a large study administered via Amazon Mechanical Turk. We contribute in two ways to the development of a more robust form of field human-robot interaction, wherein robots can select the most appropriate communication vector for a given situation and context. First, we contribute a motion-based communication system for field robots along with three baseline systems against which to test it. Second, we present results from our development of this motion system, showing that it is easier to learn than a baseline blinking LED system, viable for use underwater, aerial, and terrestrial field robots, and less negatively affected by adverse viewpoints than other communication methods.
UAS-Rx 接口，用于任务规划、火灾跟踪、点火和实时更新
DOI：
10.1109/ssrr.2017.8088142
发表时间：
2017
期刊：
Security and Rescue Robotics (SSRR
影响因子：
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作者：
Beachly, Evan;Detweiler, Carrick;Elbaum, Sebastian;Twidwell, Dirac;Duncan, Brittany
通讯作者：
Duncan, Brittany
机器人对人类教师的非语言反馈
DOI：
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发表时间：
2019
期刊：
Conference on Robot Learning (CoRL
影响因子：
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作者：
Huang, I;Pandya, R;Dragan, A.D.
通讯作者：
Dragan, A.D.