Variable Autonomy for Human-Robot Teaming (VAT)

IF 4.2 Q2 ROBOTICS
Manolis Chiou, S. Booth, Bruno Lacerda, Andreas Theodorou, S. Rothfuss
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引用次数: 0

Abstract

As robots are introduced to various domains and applications, Human-Robot Teaming (HRT) capabilities are essential. Such capabilities involve teaming with humans in\ on\ out-the-loop at different levels of abstraction, leveraging the complementing capabilities of humans and robots. This requires robotic systems with the ability to dynamically vary their level or degree of autonomy to collaborate with the human(s) efficiently and overcome various challenging circumstances. Variable Autonomy (VA) is an umbrella term encompassing such research, including but not limited to shared control and shared autonomy, mixed-initiative, adjustable autonomy, and sliding autonomy. This workshop is driven by the timely need to bring together VA-related research and practices that are often disconnected across different communities as the field is relatively young. The workshop's goal is to consolidate research in VA. To this end, and given the complexity and span of Human-Robot systems, this workshop will adopt a holistic trans-disciplinary approach aiming to a) identify and classify related common challenges and opportunities; b) identify the disciplines that need to come together to tackle the challenges; c) identify and define common terminology, approaches, methodologies, benchmarks, and metrics; d) define short- and long-term research goals for the community. To achieve these objectives, this workshop aims to bring together industry stakeholders, researchers from fields under the banner of VA, and specialists from other highly related fields such as human factors and psychology. The workshop will consist of a mix of invited talks, contributed papers, and an interactive discussion panel, toward a shared vision for VA.
人-机器人团队(VAT)的可变自治
随着机器人被引入各种领域和应用,人机协作(HRT)能力是必不可少的。这样的能力包括在不同的抽象层次上与人类合作,利用人类和机器人的互补能力。这就要求机器人系统具有动态改变其自主水平或程度的能力,以有效地与人类合作,并克服各种具有挑战性的环境。可变自治(Variable autonomous, VA)是一个涵盖此类研究的总称,包括但不限于共享控制和共享自治、混合主动、可调节自治和滑动自治。由于该领域相对年轻,不同社区之间经常脱节的与va相关的研究和实践及时需要汇集在一起,因此推动了本次研讨会。研讨会的目标是巩固人机系统的研究。为此,鉴于人-机器人系统的复杂性和广度,本次研讨会将采用一种全面的跨学科方法,旨在a)识别和分类相关的共同挑战和机遇;B)确定需要联合起来应对挑战的学科;识别和定义通用术语、方法、方法学、基准和度量标准;D)为社区定义短期和长期的研究目标。为了实现这些目标,本次研讨会旨在汇集行业利益相关者,来自VA旗下领域的研究人员,以及其他高度相关领域(如人因和心理学)的专家。研讨会将包括邀请演讲、贡献论文和互动讨论小组,以实现VA的共同愿景。
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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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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