Underwater Robot-To-Human Communication Via Motion: Implementation and Full-Loop Human Interface Evaluation

Michael Fulton, Muntaqim Mehtaz, Junaed Sattar, Owen Queeglay
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引用次数: 2

Abstract

—Autonomous underwater vehicles (AUVs) have long lagged behind other types of robots in supporting natural communication modes for human-robot interaction. Due to the limitations of the environment, most AUVs use digital displays or topside human-in-the-loop communications as their primary or only communication vectors. Natural methods for robot-to-human communication such as robot “gestures” have been proposed, but never evaluated on non-simulated AUVs. In this paper, we enhance, implement and evaluate a robot-to-human communication system for AUVs called Robot Communication Via Motion (RCVM), which utilizes explicit motion phrases (kinemes) to communicate with a dive partner. We present a small pilot study that shows our implementation to be reasonably effec- tive in person followed by a large-population study, comparing the communication effectiveness of our RCVM implementation to three baseline systems. Our results establish RCVM as an effective method of robot-to-human communication underwater and reveal the differences with more traditional communication vectors in how accurately communication is achieved at different viewpoints and types of information payloads.
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水下机器人与人之间的运动通信:实现和全回路人机界面评估
在支持人机交互的自然通信模式方面,自主水下航行器(auv)长期落后于其他类型的机器人。由于环境的限制,大多数auv使用数字显示器或上层人机环通信作为其主要或唯一的通信载体。已经提出了机器人与人类交流的自然方法,如机器人“手势”,但从未在非模拟的auv上进行评估。在本文中,我们增强,实施和评估了一个名为机器人运动通信(RCVM)的auv机器人对人通信系统,该系统利用明确的运动短语(运动学)与潜水伙伴进行通信。我们提出了一项小型试点研究,表明我们的实施在个人中是合理有效的,随后进行了一项大型人群研究,比较了我们的RCVM实施与三个基线系统的沟通有效性。我们的研究结果表明,RCVM是一种有效的水下人机通信方法,并揭示了在不同视点和不同类型的信息有效载荷下实现准确通信的方式与更传统的通信载体的差异。
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