Collaborative Planning and Negotiation in Human-Robot Teams

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3579978

Christine T. Chang, Mitchell Hebert, Bradley Hayes

引用次数: 0

Abstract

Our work aims to apply iterative communication techniques to improve functionality of human-robot teams working in space and other high-risk environments. Forms of iterative communication include progressive incorporation of human preference and otherwise latent task specifications. Our prior work found that humans would choose not to comply with robot-provided instructions and then proceed to self-justify their choices despite the risks of physical harm and blatant disregard for rules. Results clearly showed that humans working near robots are willing to sacrifice safety for efficiency. Current work aims to improve communication by iteratively incorporating human preference into optimized path planning for human-robot teams operating over large areas. Future work will explore the extent to which negotiation can be used as a mechanism for improving task planning and joint task execution for humans and robots.

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人机团队中的协同规划与协商

我们的工作旨在应用迭代通信技术来提高在太空和其他高风险环境中工作的人机团队的功能。迭代沟通的形式包括人类偏好和潜在任务规范的逐步结合。我们之前的研究发现，人类会选择不遵守机器人提供的指令，然后继续为自己的选择辩护，尽管有身体伤害的风险和公然无视规则。结果清楚地表明，在机器人附近工作的人类愿意为了效率而牺牲安全。目前的工作旨在通过迭代地将人类偏好纳入在大面积操作的人机团队的优化路径规划中来改善沟通。未来的工作将探索谈判在多大程度上可以作为一种机制，用于改进人类和机器人的任务规划和联合任务执行。

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 Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

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.