REU Site: Collaborative Human-Robot Interaction

REU 站点：人机协作交互

基本信息

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

项目摘要

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.

人类机器人互动（HRI）有可能影响几个现实世界领域，例如医院，房屋，学校，办公室或基础设施网站，在这些网站上，机器人可以独特地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，以便能够提供帮助。我们提出了一个HRI方向，为本科研究经验提供了几个密切相关的项目。项目团队将在每年夏天指导10个本科生，在以下技术领域进行直接影响辅助机器人技术的研究：开发针对护理环境的自主机器人能力，例如与护理专业人员合作，以执行支持Aganing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，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（REU）站点的研究经验的目的是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上述目标。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。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。该站点将开发针对人类在循环中的人类，无线网络连接的半自治机器人行为的解决方案，并在快速变化的频域中连接，并处理大量的现实世界数据。拟议的站点介绍了与这些计算领域有关的五个项目：对社会互动的经验研究；基于语言的人类机器人合作；地下矿山环境的自主机器人探索；多机器人协作和人类的内线协作，以进行安全，准确和可靠的检查；以及无线环境中异质机器人设备的网络管理。此REU站点通过开发辅助技术的共同目标将这些项目联系起来。学生将发展领域知识，数学技能和跨学科的能力。该项目产生的可能的智力特性将包括研究长期人类机器人互动，无线网络，以挑战信号环境，人类机器人组合的自主机器人功能以及用于处理现实世界中大量数据的数据科学工具。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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)
影响因子：
0
作者：
C. Le;A. Pham;Hung M. La;David Feil-Seifer
通讯作者：
C. Le;A. Pham;Hung M. La;David Feil-Seifer

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
影响因子：
0
作者：
Blankenburg, J.;Zagainova, M.;Simmons, S.M.;Talavera, G.;Nicolescu, M.;Feil-Seifer, D.
通讯作者：
Feil-Seifer, D.

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
影响因子：
0
作者：
Ruetten, Laik;Regis, Paulo Alexandre;Feil-Seifer, David;Sengupta, Shamik
通讯作者：
Sengupta, Shamik

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
影响因子：
0
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
影响因子：
0
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