Award Abstract # 1849198
S&AS: INT: COLLAB: Aerodynamic Intelligent Morphing System (A-IMS) for Autonomous Smart Utility Truck Safety and Productivity in Severe Environments
NSF Org: |
IIS
Division of Information & Intelligent Systems
|
Recipient: |
GEORGIA TECH RESEARCH CORP
|
Initial Amendment Date:
|
April 19, 2019 |
Latest Amendment Date:
|
March 27, 2025 |
Award Number: |
1849198 |
Award Instrument: |
Standard Grant |
Program Manager: |
James Donlon
jdonlon@nsf.gov
(703)292-8074
IIS
Division of Information & Intelligent Systems
CSE
Directorate for Computer and Information Science and Engineering
|
Start Date: |
May 1, 2019 |
End Date: |
September 30, 2025 (Estimated) |
Total Intended Award
Amount: |
$325,000.00 |
Total Awarded Amount to
Date: |
$325,000.00 |
Funds Obligated to Date:
|
FY 2019 = $325,000.00
|
History of Investigator:
|
-
Kyriakos G
Vamvoudakis
(Principal Investigator)
kyriakos@gatech.edu
|
Recipient Sponsored Research
Office: |
Georgia Tech Research Corporation
926 DALNEY ST NW
ATLANTA
GA
US
30318-6395
(404)894-4819
|
Sponsor Congressional
District: |
05
|
Primary Place of
Performance: |
Georgia Institute of Technology
225 North Avenue, NW
Atlanta
GA
US
30332-0001
|
Primary Place of
Performance Congressional District: |
05
|
Unique Entity Identifier
(UEI): |
EMW9FC8J3HN4
|
Parent UEI: |
EMW9FC8J3HN4
|
NSF Program(s): |
S&AS - Smart & Autonomous Syst
|
Primary Program Source:
|
01001920DB NSF RESEARCH & RELATED ACTIVIT
|
Program Reference
Code(s): |
9150,
046Z
|
Program Element Code(s):
|
039Y00
|
Award Agency Code: |
4900
|
Fund Agency Code: |
4900
|
Assistance Listing
Number(s): |
47.070
|
ABSTRACT

Utility trucks are the first responders in areas of extreme weather situations for tasks such as rescuing people from disaster areas, cutting trees to restore traffic, and repairing electric posts and restoring power. This study establishes a scientific framework for maintaining the productivity and safety of emergency response vehicles while eliminating accidents. This is implemented via a novel integrated framework to monitor and predict weather conditions and feed that information into intelligent mechanisms that autonomously shape the aerodynamic surfaces of utility trucks. The project includes recruitment efforts and activities to integrate high-school students, as well as students from multiple cultures, and disciplines into autonomy research. This project is expected to contribute new scientific knowledge and engineering techniques for next generation transportation infrastructure resiliency, and to facilitate economic growth in the state of Alabama.
Unlike conventional approaches, the A-IMS will integrate model-free shape-morphing learning mechanisms with model-based interactive design to manage air-fluid flows, based on the road conditions, meteorology, speed limit, wind speed, and direction. This potentially transformative framework for A-IMS will: (1) bring new perspectives of learning to enhance the adaptability and intelligence in natural-engineering systems that leverage physical and information processes; (2) establish an integrated design framework for hazardous environments to achieve resilience, and productivity through integrated adaptation of morphological properties while also mitigating the effects of potentially adversarial learning agents that can exist in the cloud; (3) investigate the interactive physical components of the A-IMS, that will simultaneously operate in two different mediums of multi-phase fluids, and solids (i.e., the air/fluid and road). The A-IMS framework will be evaluated through hardware/software implementation, as well as in real-world conditions in the unique test conditions available at Wall of Wind at Florida International University. The project's education and outreach component include integrated research and education plans that will lead to technology transfer and summer camps with a special focus on reaching out to underrepresented minorities and women.
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 39)
(Showing: 1 - 39 of 39)
Zhai, Lijing and Kanellopoulos, Aris and Fotiadis, Filippos and Vamvoudakis, Kyriakos G. and Hugues, Jerome
"Towards Intelligent Security for Unmanned Aerial Vehicles: A Taxonomy of Attacks, Faults, and Detection Mechanisms"
Proc. AIAA SCITECH 2022 Forum
, 2022
https://doi.org/10.2514/6.2022-0969
Citation
Details
Zhai, Lijing and Vamvoudakis, Kyriakos_G
"A databased private learning framework for enhanced security against replay attacks in cyberphysical systems"
International Journal of Robust and Nonlinear Control
, v.31
, 2020
https://doi.org/10.1002/rnc.5040
Citation
Details
Chakrabarty, Ankush and Jha, Devesh K. and Buzzard, Gregery T. and Wang, Yebin and Vamvoudakis, Kyriakos G.
"Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation"
IEEE Transactions on Neural Networks and Learning Systems
, 2020
https://doi.org/10.1109/TNNLS.2020.2978805
Citation
Details
Fotiadis, Filippos and Kanellopoulos, Aris and Vamvoudakis, Kyriakos G.
"Constrained Differential Games for Secure Decision-Making Against Stealthy Attacks"
2020 American Control Conference (ACC)
, 2020
10.23919/ACC45564.2020.9147555
Citation
Details
Fotiadis, Filippos and Vamvoudakis, Kyriakos G and Jiang, Zhong-Ping
"Data-Driven Actuator Allocation for Actuator Redundant Systems"
IEEE Transactions on Automatic Control
, v.69
, 2024
https://doi.org/10.1109/TAC.2023.3328993
Citation
Details
Fotiadis, Filippos and Vamvoudakis, Kyriakos G. and Jiang, Zhong-Ping
"Data-Based Actuator Selection for Optimal Control Allocation"
2022 IEEE Conference on Decision and Control
, 2022
https://doi.org/10.1109/CDC51059.2022.9992848
Citation
Details
Zhou, Yuanqiang and Vamvoudakis, Kyriakos G. and Haddad, Wassim M. and Jiang, Zhong-Ping
"A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks"
IEEE Transactions on Cybernetics
, v.51
, 2021
https://doi.org/10.1109/TCYB.2020.3006871
Citation
Details
Yang, Yongliang and Modares, Hamidreza and Vamvoudakis, Kyriakos G. and He, Wei and Xu, Cheng-Zhong and Wunsch, Donald C.
"Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors"
IEEE Transactions on Cybernetics
, 2021
https://doi.org/10.1109/TCYB.2021.3108034
Citation
Details
Yang, Yongliang and Vamvoudakis, Kyriakos G. and Modares, Hamidreza and Yin, Yixin and Wunsch, Donald C.
"Hamiltonian-Driven Hybrid Adaptive Dynamic Programming"
IEEE Transactions on Systems, Man, and Cybernetics: Systems
, 2020
10.1109/TSMC.2019.2962103
Citation
Details
Yang, Yongliang and Vamvoudakis, Kyriakos G. and Modares, Hamidreza and Yin, Yixin and Wunsch, Donald C.
"Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators"
IEEE Transactions on Neural Networks and Learning Systems
, 2020
10.1109/TNNLS.2020.2967871
Citation
Details
Vamvoudakis, Kyriakos G. and Kanellopoulos, Aris
"Non-Equilibrium Learning and Cyber-Physical Security"
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
, 2019
10.1109/ALLERTON.2019.8919756
Citation
Details
Vamvoudakis, Kyriakos G. and Fotiadis, Filippos and Hespanha, João P. and Chinchilla, Raphael and Yang, Guosong and Liu, Mushuang and Shamma, Jeff S. and Pavel, Lacra
"Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning"
2023 American Control Conference (ACC)
, 2023
https://doi.org/10.23919/ACC55779.2023.10156432
Citation
Details
Vamvoudakis, Kyriakos G.
"Non-Equilibrium Learning in Stochastic Games"
2023 American Control Conference (ACC)
, 2023
https://doi.org/10.23919/ACC55779.2023.10156061
Citation
Details
Syed, Aqib A. and Khamvilai, Thanakorn and Kim, Yoobin and Vamvoudakis, Kyriakos G.
"Experimental Design and Control of a Smart Morphing Wing System using a Q-learning Framework"
021 IEEE Conference on Control Technology and Applications (CCTA)
, 2021
https://doi.org/10.1109/CCTA48906.2021.9658986
Citation
Details
Seo, Taehwan and Sahoo, Prachi P. and Vamvoudakis, Kyriakos G.
"Verification of Adversarially Robust Reinforcement Learning Mechanisms in Aerospace Systems"
Proc. AIAA SCITECH 2023 Forum
, 2023
https://doi.org/10.2514/6.2023-1070
Citation
Details
Sahoo, Prachi Pratyusha and Vamvoudakis, Kyriakos G.
"On-Off Adversarially Robust Q-Learning"
IEEE Control Systems Letters
, v.4
, 2020
10.1109/LCSYS.2020.2979572
Citation
Details
Sahoo, Prachi Pratyusha and Kanellopoulos, Aris and Vamvoudakis, Kyriakos G.
"Intermittent Learning Through Operant Conditioning for Cyber-Physical Systems"
IEEE Transactions on Neural Networks and Learning Systems
, 2021
https://doi.org/10.1109/TNNLS.2021.3111826
Citation
Details
Niu, Shengyuan and Bouland, Ali and Wang, Haoran and Fotiadis, Filippos and Kurdila, Andrew and LAfflitto, Andrea and Paruchuri, Sai Tej and Vamvoudakis, Kyriakos G
"Convergence Rates of Online Critic Value Function Approximation in Native Spaces"
IEEE Control Systems Letters
, 2024
https://doi.org/10.1109/LCSYS.2024.3417178
Citation
Details
Magalhães Júnior, José M. and Halila, Gustavo L.O. and Kim, Yoobin and Khamvilai, Thanakorn and Vamvoudakis, Kyriakos G.
"Intelligent data-driven aerodynamic analysis and optimization of morphing configurations"
Aerospace Science and Technology
, 2022
https://doi.org/10.1016/j.ast.2022.107388
Citation
Details
Magalhães_Júnior, José M and Halila, Gustavo LO and Vamvoudakis, Kyriakos G
"Data-driven controller and multi-gradient search algorithm for morphing airfoils in high Reynolds number flows"
Aerospace Science and Technology
, v.148
, 2024
https://doi.org/10.1016/j.ast.2024.109106
Citation
Details
Magalhaes, Jose M. and Olichevis Halila, Gustavo Luiz and Vamvoudakis, Kyriakos G.
"Data-Driven Controller and Multi-Gradient Search Algorithm for Morphing Configurations"
Proc. AIAA SCITECH 2023 Forum
, 2023
https://doi.org/10.2514/6.2023-2540
Citation
Details
Sahoo, Prachi Pratyusha and Vamvoudakis, Kyriakos G.
"Intermittent Reinforcement Learning with Sparse Rewards"
2022 American Control Conference (ACC)
, 2022
https://doi.org/10.23919/ACC53348.2022.9867602
Citation
Details
Kovalik, Wade S. and Zhai, Lijing and Vamvoudakis, Kyriakos G.
"Model-Free Perception-Based Control via Q-Learning with an Application to Heat-Seeking Missile Guidance"
2021 IEEE Conference on Control Technology and Applications (CCTA)
, 2021
https://doi.org/10.1109/CCTA48906.2021.9658723
Citation
Details
Kontoudis, George P. and Xu, Zirui and Vamvoudakis, Kyriakos G.
"Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning"
2020 American Control Conference (ACC)
, 2020
10.23919/ACC45564.2020.9148047
Citation
Details
Kanellopoulos, Aris and Vamvoudakis, Kyriakos G. and Gupta, Vijay
"Decentralized Verification for Dissipativity of Cascade Interconnected Systems"
2019 IEEE 58th Conference on Decision and Control (CDC)
, 2019
10.1109/CDC40024.2019.9029165
Citation
Details
Vamvoudakis, Kyriakos G. and Kokolakis, Nick-Marios T.
"Synchronous Reinforcement Learning-Based Control for Cognitive Autonomy"
Foundations and Trends® in Systems and Control
, v.8
, 2020
https://doi.org/10.1561/2600000022
Citation
Details
Kanellopoulos, Aris and Vamvoudakis, Kyriakos G.
"Bounded Rationality in Byzantine Sensors under Attacks"
IEEE Transactions on Automatic Control
, 2021
https://doi.org/10.1109/TAC.2021.3102464
Citation
Details
Hashim, Hashim A. and Abouheaf, Mohammed and Vamvoudakis, Kyriakos G.
"Neural-Adaptive Stochastic Attitude Filter on SO(3)"
IEEE Control Systems Letters
, v.6
, 2022
https://doi.org/10.1109/LCSYS.2021.3123227
Citation
Details
Hashim, Hashim A. and Vamvoudakis, Kyriakos G.
"Adaptive Neural Network Stochastic-Filter-Based Controller for Attitude Tracking With Disturbance Rejection"
IEEE Transactions on Neural Networks and Learning Systems
, 2022
https://doi.org/10.1109/TNNLS.2022.3183026
Citation
Details
Kanellopoulos, Aris and Fotiadis, Filippos and Sun, Chuangchuang and Xu, Zhe and Vamvoudakis, Kyriakos G. and Topcu, Ufuk and Dixon, Warren E.
"Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking"
2021 IEEE Conference on Decision and Control
, 2021
https://doi.org/10.1109/CDC45484.2021.9683309
Citation
Details
Abouheaf, Mohammed I. and Hashim, Hashim A. and Mayyas, Mohammad A. and Vamvoudakis, Kyriakos G.
"An Online Model-Following Projection Mechanism Using Reinforcement Learning"
IEEE Transactions on Automatic Control
, 2023
https://doi.org/10.1109/TAC.2023.3243165
Citation
Details
Carrillo, Luis Rodolfo and Vamvoudakis, Kyriakos G.
"Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs"
IEEE Transactions on Aerospace and Electronic Systems
, 2019
10.1109/TAES.2019.2930017
Citation
Details
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(Showing: 1 - 39 of 39)
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