REU Site: Collaborative Human-Robot Interaction for Robots in the Field

REU 网站：现场机器人的人机协作交互

• 批准号: 2150394
• 负责人: David Feil-Seifer
• 金额: $ 40.5万
• 依托单位: Board of Regents, NSHE, obo University of Nevada, Reno
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150394&HistoricalAwards=false
• 关键词: REU; Site; Collaborative; Human; Robot

This Research Experiences for Undergraduates site will develop and evaluate robotic systems whose function is to help bridge the human-robot collaboration gap and achieve objectives efficiently and effectively. Human-robot interaction research has the potential to affect several real-world challenges of operating autonomous systems in environments outside of a traditional lab setting where robots are uniquely able to assist a human team member to achieve a common goal. However, there are many challenges for effective human-robot collaboration that impinge on this promise, such as communicating with human partners using natural language, providing information to an operator through a visual interface, or quickly providing information so that a person is able to offer assistance. The site will develop new autonomous robot capabilities and supporting network and data science technology to address real-world challenges of operating autonomous systems in hospital, clinic, home, and infrastructure environments. Students will develop domain knowledge, mathematical skills, and interdisciplinary competency. The summer activities for undergraduates will provide hands-on science and engineering activities related to current research projects, and professional development with training sessions on writing a graduate school application and how to apply for fellowships to support graduate education. This REU site links projects together through the common objective of developing assistive technology that can be used in the field. The project team will mentor 10 undergraduates each summer, pursuing research directly impacting the following technical challenges: development of autonomous robot capabilities targeted for care environments, such as networked robotics devices cooperating with care professionals to perform complex tasks in support of aging in place; human command-and-control infrastructure for operations that utilize robots for technology support; and connectivity and security for a network of robots, computers, and embedded devices collectively used to address mission-critical goals while utilizing unused parts of the wireless spectrum. The site combines five projects related to these computing domains: socially appropriately navigating in public spaces; understanding user comfort through interactions; tightly-coupled collaborative human-robot teams; efficient collaboration with remotely-situated agents; and first-responder search and rescue operations with human-robot intertwined networks. Intellectual results may include discoveries about long-term human-robot interaction, wireless networking for challenging signal environments, autonomous robot capabilities for human-robot teaming, and data science tools for processing high volumes of data from real-world systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

本科生网站的这一研究经验将开发和评估机器人系统的功能，其功能是帮助弥合人类机器人协作差距并有效地实现目标。人类机器人的互动研究有可能影响传统实验室环境以外的环境中操作自动系统的几个现实挑战，在该环境中，机器人具有独特的能力，能够帮助人类团队成员实现共同的目标。但是，有效的人类机器人协作面临许多挑战，这些挑战会影响这一诺言，例如使用自然语言与人类伴侣进行沟通，通过视觉界面向操作员提供信息，或者快速提供信息，以便一个人能够提供帮助。该网站将开发新的自动驾驶机器人功能，并支持网络和数据科学技术，以应对医院，诊所，家庭和基础设施环境中运营自治系统的现实挑战。 学生将发展领域知识，数学技能和跨学科的能力。本科生的夏季活动将提供与当前研究项目有关的动手科学和工程活动，并提供有关编写研究生院申请的培训课程的专业发展，以及如何申请奖学金来支持研究生教育。此REU站点通过开发可以在该领域使用的辅助技术的共同目标将项目链接在一起。项目团队将在每年夏天指导10个本科生，从事直接影响以下技术挑战的研究：开发针对护理环境的自主机器人功能，例如与护理专业人员合作的网络机器人设备，以执行支持衰老的复杂任务；使用机器人进行技术支持的操作的人类指挥和控制基础设施；以及用于机器人，计算机和嵌入式设备网络的连接性和安全性，用于解决关键任务目标的，同时使用无线频谱的未使用部分。该网站结合了与这些计算领域相关的五个项目：在公共场所中适当地导航；通过互动了解用户舒适感；紧密耦合的协作人类机器人团队；与远程定位的代理有效合作；以及通过人类机器人交织网络的一流搜索和救援操作。智力结果可能包括有关长期人类机器人交互的发现，针对挑战信号环境的无线网络，自主的机器人能力，用于人类机器人组合的能力以及用于处理现实世界系统的大量数据的数据科学工具。这项奖项反映了NSF的法定任务，并通过使用基金会的Merit和BroadIt和广泛的影响来评估NSF的法定任务。

项目成果

Deep Learning–based Reassembling of an Aerial & Legged Marsupial Robotic System–of–Systems

• DOI: 10.1109/icuas57906.2023.10155866
• 发表时间: 2023-06
• 期刊: 2023 International Conference on Unmanned Aircraft Systems (ICUAS)
• 作者: Prateek Arora;Tolga Karakurt;Eleni S. Avlonitis;S. Carlson;Brandon Moore;David Feil-Seifer;C. Papachristos

Cognitive Approach to Hierarchical Task Selection for Human-Robot Interaction in Dynamic Environments

动态环境中人机交互的分层任务选择的认知方法

• DOI: 10.1109/iros55552.2023.10341768
• 发表时间: 2023
• 期刊: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
• 作者: Shah Bukhari, Syed Tanweer;Anima, Bashira Akter;Feil-Seifer, David;Qazi, Wajahat Mahmood
• 通讯作者: Qazi, Wajahat Mahmood

Advancing Socially-Aware Navigation for Public Spaces

推进公共空间的社会意识导航

• DOI: 10.1109/ro-man53752.2022.9900653
• 发表时间: 2022
• 期刊: IEEE International Conference on Robot and Human Interactive Communication (RO-MAN
• 作者: Salek Shahrezaie, Roya;Manalo, Bethany N.;Brantley, Aaron G.;Lynch, Casey R.;Feil-Seifer, David
• 通讯作者: Feil-Seifer, David

Eyes on the Road: A Survey on Cyber Attacks and Defense Solutions for Vehicular Ad-Hoc Networks

• DOI: 10.1109/ccwc57344.2023.10099187
• 发表时间: 2023-03
• 期刊: 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)
• 作者: Amber Hankins;Tapadhir Das;S. Sengupta;David Feil-Seifer

Single Robot Multitasking Through Dynamic Resource Allocation

• DOI: 10.1109/humanoids57100.2023.10375225
• 发表时间: 2023-12
• 期刊: 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids)
• 作者: Tyler Becker;Song Jiang;David Feil-Seifer;M. Nicolescu