Speaking out for speakers: a guide for and analysis of robot speaker design.

IF 3 Q2 ROBOTICS Frontiers in Robotics and AI Pub Date : 2024-11-29 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1394700
Nnamdi Nwagwu, Adeline Schneider, Tyler K Phelps, Brian J Zhang, Naomi T Fitter
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Abstract

Despite sound being a promising modality of communication in robotics (possessing, for example, the ability to improve people's perceptions of robots and help localize robotic systems in space), its facilitator, speakers, are a seldom-explored topic of study in robotics literature. To address this gap, we conducted three explorations into physical speaker design that identified what current robot speakers lack and potential remedies, low-level design improvements, and post hoc hardware additions. Further, we detail and explore the application of speakers on three different robotic platforms (including one industrial robot used for construction), the last evaluation of which involved an empirical study ( N = 21 ) that sought to better understand the implications associated with poor-quality speakers in a mock service robotics context. Our results suggest that greater internal cavity volume is a key strength in speaker design. We also observed greater effects of the presence (vs. absence) of a service robot voice compared to other factors. This work can inform the process of creating custom speakers for robots and augmenting current robotic systems with new speaker additions (whether commercial or custom, and across use contexts from construction to service). In particular, the work can help to guide roboticists who may be unfamiliar with nuanced audio engineering techniques and designers who seek to improve robotics platform standards with human interlocutors in mind.

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为扬声器发声:机器人扬声器设计指南与分析。
尽管声音在机器人技术中是一种很有前途的交流方式(例如,拥有提高人们对机器人的感知并帮助在空间中定位机器人系统的能力),但它的推动者,扬声器,是机器人文学中很少探索的研究主题。为了解决这一差距,我们对物理扬声器设计进行了三次探索,确定了当前机器人扬声器的不足和潜在的补救措施、低级设计改进和后期硬件添加。此外,我们详细探讨了扬声器在三种不同机器人平台(包括一个用于建筑的工业机器人)上的应用,最后的评估涉及一项实证研究(N = 21),该研究旨在更好地理解在模拟服务机器人环境中与低质量扬声器相关的影响。我们的研究结果表明,更大的内腔体积是扬声器设计的关键优势。我们还观察到,与其他因素相比,服务机器人声音的存在(与不存在)的影响更大。这项工作可以为为机器人创建定制扬声器的过程提供信息,并通过添加新的扬声器来增强当前机器人系统(无论是商业还是定制,以及从建筑到服务的跨使用环境)。特别是,这项工作可以帮助指导可能不熟悉细微音频工程技术的机器人专家和寻求改进机器人平台标准的设计师,并考虑到人类对话者。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
期刊最新文献
Interactive imitation learning for dexterous robotic manipulation: challenges and perspectives-a survey. Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration. From AIBO to robosphere. Organizational interdependencies in sustainable robotics. Slip detection for compliant robotic hands using inertial signals and deep learning. Adaptive mapless mobile robot navigation using deep reinforcement learning based improved TD3 algorithm.
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