CPS: Frontier: Collaborative Research: Cognitive Autonomy for Human CPS: Turning Novices into Experts
CPS: Frontier: Collaborative Research: Cognitive Autonomy for Human CPS: Turning Novices into Experts
批准号:
1836900
负责人:
Meeko Oishi
金额:
$325.48万
依托单位:
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
项目状态:
未结题
起止时间:
2019-10-01 至 2025-09-30
中文摘要
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英文摘要
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.
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An Algorithm for Learning Switched Linear Dynamics from Data
一种从数据中学习切换线性动力学的算法
DOI:
--
发表时间:
2022
期刊:
Neural Information Processing Systems (NeurIPS’22
影响因子:
--
作者:
[Berger, Guillaume O., Narasimhamurthy, Monal, Watanabe, Kandai, Lahijanian, Morteza, Sankaranarayanan, Sriram]
通讯作者:
Sankaranarayanan, Sriram
Decoding Output Sequences for Discrete-Time Linear Hybrid Systems.
解码离散时间线性混合系统的输出序列。
DOI:
10.1145/3501710.3519530
发表时间:
2022
期刊:
25th ACM International Conference on Hybrid Systems: Computation and Control
影响因子:
--
作者:
[Narasimhamurthy, Monal, Sankaranarayanan, Sriram]
通讯作者:
Sankaranarayanan, Sriram
Exploring agency in capstone design problem framing
探索顶点设计问题框架中的机构
DOI:
10.21061/see.69
发表时间:
2021
期刊:
Studies in engineering education
影响因子:
--
作者:
[Svihla, V., Peele-Eady, T.B., Gallup, A.]
通讯作者:
Gallup, A.
DOI:
--
发表时间:
2021
期刊:
Proceedings of Machine Learning Research
影响因子:
--
作者:
[Thorpe, Adam, Ortiz, Kendric, and Oishi, Meeko M.]
通讯作者:
and Oishi, Meeko M.
DOI:
10.1007/978-3-030-53288-8_30
发表时间:
2020-06-13
期刊:
Computer Aided Verification
影响因子:
--
作者:
[Sankaranarayanan S]
通讯作者:
Sankaranarayanan S
共 29 条
BRITE Fellow: Autonomous Systems that Accommodate Human Perception and Reasoning about Uncertainty
-
批准号:2227338
-
项目类别:Standard Grant
-
资助金额:$99.5万
-
财政年份:2023
-
负责人:Meeko Oishi
-
依托单位:
Collaborative Research: Negotiated Planning for Stochastic Control of Dynamical Systems
-
批准号:2105631
-
项目类别:Standard Grant
-
资助金额:$56.65万
-
财政年份:2021
-
负责人:Meeko Oishi
-
依托单位:
Collaborative Research: Synthesis of User Interfaces for Collaborative Systems in Uncertain Environments
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批准号:1335038
-
项目类别:Standard Grant
-
资助金额:$17.97万
-
财政年份:2013
-
负责人:Meeko Oishi
-
依托单位:
CAREER: Formal Tools For Analysis and Design of Collaborative Hybrid Systems
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批准号:1254990
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项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2013
-
负责人:Meeko Oishi
-
依托单位:
CPS: Synergy: Collaborative Research: Formal Models of Human Control and Interaction with Cyber-Physical Systems
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批准号:1329878
-
项目类别:Standard Grant
-
资助金额:$12.42万
-
财政年份:2013
-
负责人:Meeko Oishi
-
依托单位:
海外基金