CPS: Frontier: Collaborative Research: Cognitive Autonomy for Human CPS: Turning Novices into Experts

CPS：前沿：协作研究：人类 CPS 的认知自主性：将新手变成专家

基本信息

批准号：
1836900
负责人：
Meeko Oishi
金额：
$ 325.48万
依托单位：
University of New Mexico
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836900&HistoricalAwards=false
关键词：
CPS Frontier Collaborative Research Cognitive

项目摘要

Human interaction with autonomous cyber-physical systems is becoming ubiquitous in consumer products, transportation systems, manufacturing, and many other domains. This project seeks constructive methods to answer the question: How can we design cyber-physical systems to be responsive and personalized, yet also provide high-confidence assurances of reliability? Cyber-physical systems that adapt to the human, and account for the human's ongoing adaptation to the system, could have enormous impact in everyday life as well as in specialized domains (biomedical devices and systems, transportation systems, manufacturing, military applications), by significantly reducing training time, increasing the breadth of the human's experiences with the system prior to operation in a safety-critical environment, improving safety, and improving both human and system performance. Architectures that support dynamic interactions, enabled by advances in computation, communication, and control, can leverage strengths of the human and the automation to achieve new levels of performance and safety.This research investigates a human-centric architecture for "cognitive autonomy" that couples human psychophysiological and behavioral measures with objective measures of performance. The architecture has four elements: 1) a computable cognitive model which is amenable to control, yet highly customizable, responsive to the human, and context dependent; 2) a predictive monitor, which provides a priori probabilistic verification as well as real-time short-term predictions to anticipate problematic behaviors and trigger the appropriate action; 3) cognitive control, which collaboratively assures both desired safety properties and human performance metrics; and 4) transparent communication, which helps maintain trust and situational awareness through explanatory reasoning. The education and outreach plan focuses on broadening participation of underrepresented minorities through a culturally responsive undergraduate summer research program, which will also provide insights about learning environments that support participation and retention. All research and educational material generated by the project are being made available to the public through the project webpage.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.

人类与自主网络物理系统的交互在消费品、运输系统、制造和许多其他领域变得无处不在。该项目寻求建设性的方法来回答这个问题：我们如何设计具有响应性和个性化的网络物理系统，同时又能提供高度可信的可靠性保证？适应人类并解释人类对系统的持续适应的网络物理系统可能会对日常生活以及专业领域（生物医学设备和系统、运输系统、制造、军事应用）产生巨大影响。显着减少培训时间，在安全关键环境中操作之前增加人类对系统的体验，提高安全性并提高人类和系统性能。通过计算、通信和控制的进步，支持动态交互的架构可以利用人类和自动化的优势来实现新水平的性能和安全性。这项研究调查了一种以人为中心的“认知自主”架构，该架构将人类心理生理和行为测量以及客观的表现测量。该架构有四个要素：1）可计算的认知模型，易于控制，但高度可定制，对人类敏感且依赖于上下文； 2）预测监控器，提供先验概率验证以及实时短期预测，以预测有问题的行为并触发适当的行动； 3）认知控制，协同确保所需的安全特性和人类绩效指标； 4）透明的沟通，有助于通过解释性推理维持信任和态势感知。教育和推广计划的重点是通过文化敏感的本科生暑期研究计划扩大代表性不足的少数群体的参与，该计划还将提供有关支持参与和保留的学习环境的见解。该项目产生的所有研究和教育材料都通过项目网页向公众开放。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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（34）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Approximate Stochastic Reachability for High Dimensional Systems

高维系统的近似随机可达性

DOI：
10.23919/acc50511.2021.9483404
发表时间：
2020-10-18
期刊：
2021 American Control Conference (ACC)
影响因子：
0
作者：
Adam J. Thorpe;Vignesh Sivaramakrishnan;Meeko Oishi
通讯作者：
Meeko Oishi

What Difference Does Difference Make? A Case Study of Racial, Ethnic, and Gender Diversity in a Summer Intensive Research Institute in the , Baltimore, MD, Jun. 2023.

差异有何不同？

DOI：
发表时间：
2023-06
期刊：
2023 ASEE Annual Conference
影响因子：
0
作者：
Peele;Reid Smith, T
通讯作者：
Reid Smith, T

Convexified Open-Loop Stochastic Optimal Control for Linear Systems with Log-Concave Disturbances

具有对数凹扰动的线性系统的凸开环随机最优控制

DOI：
10.1109/tac.2023.3284534
发表时间：
2023-06
期刊：
IEEE Transactions on Automatic Control
影响因子：
6.8
作者：
Sivaramakrishnan, Vignesh;Vinod, Abraham P.;Oishi, Meeko M.
通讯作者：
Oishi, Meeko M.

Reachability Analysis for Cyber-Physical Systems: Are We There Yet?

网络物理系统的可达性分析：我们做到了吗？

DOI：
10.1007/97830310677306
发表时间：
2022-01
期刊：
Lecture notes in computer science
影响因子：
0
作者：
Chen, Xin;Sankaranarayanan, Sriram
通讯作者：
Sankaranarayanan, Sriram

SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods

SOCKS：使用核方法的随机最优控制和可达性工具箱

DOI：
10.1145/3501710.3519525
发表时间：
2022-03-12
期刊：
Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control
影响因子：
0
作者：
Adam J. Thorpe;Meeko Oishi
通讯作者：
Meeko Oishi