REU Site: Collaborative Human-Robot Interaction

REU 站点：人机协作交互

• 批准号: 1757929
• 负责人: David Feil-Seifer
• 金额: $ 36万
• 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: 2018
• 资助国家: 美国
• 起止时间: 2018-02-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757929&HistoricalAwards=false
• 关键词: REU; Site; Collaborative; Human; Robot

Human-Robot Interaction (HRI) has the potential to affect several real world domains such as hospitals, homes, schools, offices, or infrastructure sites 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. We propose an HRI direction that provides several closely-related projects for undergraduate research experiences. The project team will mentor 10 undergraduates each summer, pursuing research directly impacting assistive robotics, in the following technical areas: 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 mission-critical goals while utilizing unused parts of the wireless spectrum. The goal of this Research Experiences for Undergraduates (REU) site is to develop and evaluate robotic systems whose function is to help bridge the human-robot collaboration gap and achieve the above objectives efficiently and effectively. 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. 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. This site will develop solutions for semi-autonomous robot behavior with humans in the loop, wireless network connections in rapidly changing frequency domains, and processing high volumes of real-world data. The proposed site presents five projects related to these computing domains: Empirical Study of Socially-Appropriate Interaction; Language-Based Human-Robot Collaboration; Autonomous Robotic Exploration of Underground Mine Environments; Multi-robot Collaboration and Human in-the-loop for Safe, Accurate and Reliable Inspection; and Network Management of Heterogeneous Robotics Devices in a Wireless Environment. This REU site links these projects together through the common objective of developing assistive technology. Students will develop domain knowledge, mathematical skills, and interdisciplinary competency. The possible intellectual properties resulting from this project will include study on 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.

人机交互（HRI）有可能影响几个真实的世界领域，如医院，家庭，学校，办公室或基础设施站点，其中机器人能够帮助人类团队成员实现共同的目标。然而，有效的人机协作面临着许多挑战，例如使用自然语言与人类合作伙伴进行通信，通过视觉界面向操作员提供信息，或快速提供信息以便人们能够提供帮助。我们提出了一个HRI方向，为本科生的研究经验提供了几个密切相关的项目。该项目团队将指导10名本科生每年夏天，追求直接影响辅助机器人技术的研究，在以下技术领域：针对护理环境的自主机器人能力的发展，例如与护理专业人员合作的网络机器人设备，以执行复杂的任务，以支持就地老化;人类指挥和控制基础设施，用于利用机器人进行技术支持的操作;以及机器人、计算机和嵌入式设备网络的连接性和安全性，这些设备共同用于关键任务目标，同时利用无线频谱的未使用部分。本科生研究经验（REU）网站的目标是开发和评估机器人系统，其功能是帮助弥合人机协作差距，并有效地实现上述目标。本科生的暑期活动将提供与当前研究项目相关的实践科学和工程活动，以及关于撰写研究生院申请以及如何申请奖学金以支持研究生教育的培训课程的专业发展。该网站将开发新的自主机器人功能，并支持网络和数据科学技术，以解决在医院，诊所，家庭和基础设施环境中操作自主系统的现实挑战。该网站将开发半自主机器人行为的解决方案，其中包括人类在回路中，快速变化的频域中的无线网络连接以及处理大量真实数据。拟议的网站提出了与这些计算领域相关的五个项目：社会适当的交互的实证研究;基于机器人的人机协作;地下矿山环境的自主机器人勘探;多机器人协作和人类在安全，准确和可靠的检查环;和无线环境中异构机器人设备的网络管理。这个REU网站通过开发辅助技术的共同目标将这些项目联系在一起。学生将发展领域知识，数学技能和跨学科能力。该项目可能产生的知识产权将包括对长期人机交互的研究，具有挑战性的信号环境的无线网络，用于人机合作的自主机器人能力，以及用于处理来自真实世界系统的大量数据的数据科学工具。

项目成果

A Multi-Robotic System for Environmental Dirt Cleaning

• DOI: 10.1109/sii46433.2020.9026295
• 发表时间: 2020-01
• 期刊: 2020 IEEE/SICE International Symposium on System Integration (SII)
• 作者: C. Le;A. Pham;Hung M. La;David Feil-Seifer

Area-Optimized UAV Swarm Network for Search and Rescue Operations

用于搜索和救援行动的区域优化无人机群网络

• DOI: 10.1109/ccwc47524.2020.9031197
• 发表时间: 2020
• 期刊: Computing and Communication Workshop and Conference (CCWC
• 作者: Ruetten, Laik;Regis, Paulo Alexandre;Feil-Seifer, David;Sengupta, Shamik
• 通讯作者: Sengupta, Shamik

Human-Robot Collaboration and Dialogue for Fault Recovery on Hierarchical Tasks

分层任务故障恢复的人机协作和对话

• DOI: 10.1007/978-3-030-62056-1_13
• 发表时间: 2020
• 期刊: International Conference on Social Robotics
• 作者: Blankenburg, J.;Zagainova, M.;Simmons, S.M.;Talavera, G.;Nicolescu, M.;Feil-Seifer, D.
• 通讯作者: Feil-Seifer, D.

Analysis and Prevention of Security Vulnerabilities in a Smart City

智慧城市安全漏洞分析与防范

• DOI: 10.1109/ccwc54503.2022.9720824
• 发表时间: 2022
• 期刊: Computing and Communication Workshop and Conference (CCWC
• 作者: Lupton, Ben;Zappe, Mackenzie;Thom, Jay;Sengupta, Shamik;Feil-Seifer, Dave
• 通讯作者: Feil-Seifer, Dave

Learning of Complex-Structured Tasks from Verbal Instruction

从口头教学中学习复杂结构的任务

• DOI: 10.1109/humanoids43949.2019.9035032
• 发表时间: 2020
• 期刊: IEEERAS International Conference on Humanoid Robots
• 作者: Nicolescu, M;Arnold, N;Blankenburg, J;Feil-Seifer, D;Balajee Banisetty, S;Nicolescu, M;Palmer, A;Monteverde, T
• 通讯作者: Monteverde, T