NRT-FW-HTF: Socially Cognizant Robotics for a Technology Enhanced Society (SOCRATES)
NRT-FW-HTF:技术增强型社会的社会认知机器人(苏格拉底)
基本信息
- 批准号:2021628
- 负责人:
- 金额:$ 300万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The popular vision of ubiquitous robot assistants that improve the quality of life remains mostly a vision. A key challenge of the program is Robotics for Everyday Augmented Living (REAL), semi-automated systems that focus on tasks and work within daily life. To make this vision a reality, important considerations include safety, adaptability to human desires, and nuanced societal impacts, such as dignity, consent, privacy, and fairness. Traditional social sciences often study the effects of technology on individuals and society only after it is deployed. Given the potential impact of robotics as well as the potential for unintended negative social consequences, technology should adapt to humans rather than the other way around. Current robotics training does not equip researchers with the interdisciplinary tools necessary to address this challenge. This National Science Foundation Research Traineeship (NRT) award to Rutgers University will train a new type of professional, the socially cognizant roboticist, with the skills—in technology, social science, and public policy—needed to bridge this gap. This training program aims to instill an awareness of human involvement into every phase of the design of new technology, so that these technologies can provide positive human value wherever they are introduced. The training program anticipates training over 35 graduate students (MS and PhD), including 17 NRT-funded trainees, by integrating technology domains (robotics, machine learning and computer vision) with social and behavioral sciences (psychology, cognitive science, and urban policy planning).The program will integrate the training of technologists, who are able to develop robots that can coordinate with people, and social scientists, who can translate studies regarding the social effects of robotics into actionable lessons. Robotics is defined broadly here to include intelligent systems encompassing smart buildings and embedded infrastructure. Program participants will be trained in 1) technology: building and controlling robots, collecting, and learning from large datasets; 2) cognitive science: designing socially cognizant systems; 3) policy: assessing unintended consequences and planning for positive societal impact. The program lays the groundwork for this training via a new curriculum for a robotics specialization that combines existing technology and social science courses, as well as new interdisciplinary courses. The program will emphasize experiential learning, through the Rutgers Robotics Live Lab and interdisciplinary research projects from the partnering graduate programs, as well as internship opportunities through an Industry Consortium. Trainees will engage in fundamental research to understand and model the social dimensions of robot deployments and advance the long-term goal of dignified living and working in a technologically enhanced society. An important program objective is the recruitment and retention of diverse trainees through a multi-faceted strategy, including a student-led robotics club that focuses on a novice-to-expert strategy, an annual robotics workshop, and a Faculty Talk-it-up Robotics Series for underrepresented populations. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.
人们普遍认为无处不在的机器人助手能够提高生活质量,但这在很大程度上仍是一种愿景。该项目的一个关键挑战是日常增强生活机器人(REAL),这是一种专注于日常生活中的任务和工作的半自动系统。为了使这一愿景成为现实,重要的考虑因素包括安全性、对人类欲望的适应性,以及细微的社会影响,如尊严、同意、隐私和公平。传统的社会科学通常只研究技术应用之后对个人和社会的影响。考虑到机器人的潜在影响以及潜在的意想不到的负面社会后果,技术应该适应人类,而不是相反。目前的机器人培训并没有为研究人员提供应对这一挑战所必需的跨学科工具。这项授予罗格斯大学的国家科学基金会研究培训(NRT)奖将培养一种新型的专业人士,即具有社会认知能力的机器人专家,他们具备弥合这一差距所需的技术、社会科学和公共政策方面的技能。这项培训计划的目的是在新技术设计的每个阶段灌输人的参与意识,使这些技术无论在哪里被引入,都能提供积极的人类价值。该培训计划预计将培训超过35名研究生(硕士和博士),其中包括17名nrt资助的学员,通过将技术领域(机器人技术、机器学习和计算机视觉)与社会和行为科学(心理学、认知科学和城市政策规划)相结合。该项目将整合技术专家和社会科学家的培训,前者能够开发出能够与人协调的机器人,后者能够将机器人的社会影响研究转化为可操作的课程。机器人在这里被广泛定义为包括智能建筑和嵌入式基础设施在内的智能系统。项目参与者将接受1)技术方面的培训:建造和控制机器人,收集和学习大型数据集;2)认知科学:设计社会认知系统;3)政策:评估意外后果并规划积极的社会影响。该计划通过结合现有技术和社会科学课程以及新的跨学科课程的机器人专业新课程为这次培训奠定了基础。该项目将强调体验式学习,通过罗格斯机器人现场实验室和合作研究生项目的跨学科研究项目,以及通过行业联盟的实习机会。学员将从事基础研究,以理解和模拟机器人部署的社会维度,并推进在技术增强的社会中有尊严的生活和工作的长期目标。一个重要的项目目标是通过多方面的战略招聘和留住不同的学员,包括一个以学生为主导的机器人俱乐部,专注于从新手到专家的战略,一年一度的机器人研讨会,以及面向代表性不足人群的教师talk -it- talk机器人系列。美国国家科学基金会研究实习生(NRT)计划旨在鼓励开发和实施大胆的、具有潜在变革性的STEM研究生教育培训新模式。该项目致力于通过创新、循证、适应不断变化的劳动力和研究需求的综合培训模式,在高优先级跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Robotics as an Enabler of Resiliency to Disasters: Promises and Pitfalls
机器人技术作为抗灾能力的推动者:承诺和陷阱
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Wang, Rui;Nakhimovich, Daniel;Roberts, Fred S;Bekris, Kostas E
- 通讯作者:Bekris, Kostas E
Preparing to Design Robots for Social Contexts
准备设计适合社交环境的机器人
- DOI:10.1109/mts.2022.3147530
- 发表时间:2022
- 期刊:
- 影响因子:2.2
- 作者:Andrews, Clinton J.
- 通讯作者:Andrews, Clinton J.
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
统一对象重排:从完整的单调基元到高效的非单调知情搜索
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Wang, Rui;Gao, Kai;Nakhimovich, Daniel;Yu, Jingjin;Bekris, Kostas E
- 通讯作者:Bekris, Kostas E
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Kristin Dana其他文献
Shape from Sky : Polarimetric Normal Recovery Under The Sky
天空形状:天空下的偏振法线恢复
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Tomoki Ichikawa;Matt Purri;Ryo Kawahara;Shohei Nobuhara;Kristin Dana;and Ko Nishino - 通讯作者:
and Ko Nishino
Vision-Based Cranberry Crop Ripening Assessment
基于视觉的蔓越莓作物成熟评估
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Faith Johnson;Jack Lowry;Kristin Dana;Peter Oudemans - 通讯作者:
Peter Oudemans
Kristin Dana的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Kristin Dana', 18)}}的其他基金
CNS Core: Medium: Collaborative: Reality-Aware Networks
CNS 核心:媒介:协作:现实感知网络
- 批准号:
1901355 - 财政年份:2019
- 资助金额:
$ 300万 - 项目类别:
Continuing Grant
I-Corps Teams: Invisible Light Field Messaging
I-Corps 团队:隐形光场消息传递
- 批准号:
1907550 - 财政年份:2018
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
RI: Small: Collaborative Research: Seeing Surfaces: Actionable Surface Properties from Vision
RI:小型:协作研究:看到表面:从视觉中可操作的表面特性
- 批准号:
1715195 - 财政年份:2017
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
RI: Small: Collaborative Research: MatCam: A Camera that Sees Materials
RI:小型:协作研究:MatCam:看到材料的相机
- 批准号:
1421134 - 财政年份:2014
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
CAREER: Surface Science for Vision and Graphics
职业:视觉和图形表面科学
- 批准号:
0092491 - 财政年份:2001
- 资助金额:
$ 300万 - 项目类别:
Continuing Grant
相似国自然基金
基于DES/FW-H方法的共轴刚性旋翼气动噪声预测方法及机理研究
- 批准号:
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于对流FW-H方程的旋转声源散射声场预测方法及应用
- 批准号:12004027
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
番茄果重基因FW9.1的图位克隆及与其它果重基因互作效应研究
- 批准号:31872949
- 批准年份:2018
- 资助金额:56.0 万元
- 项目类别:面上项目
Fw2.2同源基因调控库尔勒香梨果实大小的分子机理研究
- 批准号:31760561
- 批准年份:2017
- 资助金额:38.0 万元
- 项目类别:地区科学基金项目
番茄果实重量主效基因FW6.3的图位克隆及功能分析
- 批准号:31672154
- 批准年份:2016
- 资助金额:65.0 万元
- 项目类别:面上项目
番茄果实重量基因FW11.3控制细胞大小的分子机理研究
- 批准号:31471889
- 批准年份:2014
- 资助金额:85.0 万元
- 项目类别:面上项目
相似海外基金
FW-HTF-RL: Success via a Human-Assistive Wearable Technology Partnership Fostering Neurodiverse Individuals' Work Success via an Assistive Wearable Technology
FW-HTF-RL:通过人类辅助可穿戴技术合作伙伴关系取得成功通过辅助可穿戴技术促进神经多样性个体的工作成功
- 批准号:
2326270 - 财政年份:2024
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning
协作研究 [FW-HTF-RL]:通过人工智能支持的工作嵌入学习形成性反馈增强教师实践的未来
- 批准号:
2326170 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RM: Human-in-the-Lead Construction Robotics: Future-Proofing Framing Craft Workers in Industrialized Construction
合作研究:FW-HTF-RM:人类主导的建筑机器人:工业化建筑中面向未来的框架工艺工人
- 批准号:
2326160 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RL: Trapeze: Responsible AI-assisted Talent Acquisition for HR Specialists
合作研究:FW-HTF-RL:Trapeze:负责任的人工智能辅助人力资源专家人才获取
- 批准号:
2326193 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RM: Artificial Intelligence Technology for Future Music Performers
合作研究:FW-HTF-RM:未来音乐表演者的人工智能技术
- 批准号:
2326198 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
- 批准号:
2326407 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
- 批准号:
2326408 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Conference: 2023 NSF FW-HTF PI Meeting; Boston, Massachusetts; 31 August to 1 September 2023
会议:2023 NSF FW-HTF PI 会议;
- 批准号:
2329684 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
FW-HTF-R: The Future of Equitable Childcare Worker Technologies
FW-HTF-R:公平儿童保育员技术的未来
- 批准号:
2222242 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-R: Future of Construction Workplace Health Monitoring
合作研究:FW-HTF-R:建筑工作场所健康监测的未来
- 批准号:
2401745 - 财政年份:2023
- 资助金额:
$ 300万 - 项目类别:
Standard Grant














{{item.name}}会员




