CPS: Medium: Aerial Co-Workers: Augmenting Physical and Cognitive Human Capabilities
Lead PI:
Giuseppe Loianno
Co-PI:
Abstract

This project studies the algorithmic foundations and methodological frameworks to augment human capabilities via a novel form of physical and cognitive collaboration between human and multi-agent robotic systems, creating Aerial Co-Workers. These machines will actively collaborate with each other and with humans and tackle the fundamental gaps related to human-MAV collaboration at both physical and cognitive levels. The project is organized along two main thrust areas: Physical Collaboration and Cognitive Collaboration.

Performance Period: 01/01/2022 - 12/31/2024
Institution: New York University
Award Number: 2121391
Collaborative Research: CPS: Medium: Spatio-Temporal Logics for Analyzing and Querying Perception Systems
Abstract

The goals of Automated Driving Systems (ADS) and Advanced Driver Assistance Systems (ADAS) include reduction in accidental deaths, enhanced mobility for differently abled people, and an overall improvement in the quality of life for the general public. Such systems typically operate in open and highly uncertain environments for which robust perception systems are essential.

Performance Period: 01/01/2021 - 12/31/2024
Institution: Arizona State University
Award Number: 2038666
Collaborative Research: CPS: Medium: A3EM: Animal-borne Adaptive Acoustic Environmental Monitoring
Lead PI:
George Wittemyer
Abstract

The application of acoustic monitoring in ecological sciences has grown exponentially in the last two decades. It has been used to answer many questions, including detecting the presence or absence of animal species in an environment, evaluating animal behavior, and identifying ecological stressors and illegal activities. However, current uses are limited to the coverage of relatively small geographic areas with a fixed number of sensors.

Performance Period: 08/01/2023 - 07/31/2026
Institution: Colorado State University
Award Number: 2312392
Conference: 2022 Cyber-Physical Systems Principal Investigators Meeting
Frankie King
Lead PI:
Frankie King
Abstract

The purpose of this project is to plan and organize the 2022 National Science Foundation (NSF) Cyber-Physical Systems (CPS) Principal Investigator (PI) Meeting. This meeting convenes all PIs of the NSF CPS Program for the 13 time since the program began. The PI Meeting is to take place during the Fall of 2022 in Alexandria, Virginia.

Frankie King

Frankie Denise King is the Assistant Director of the Annapolis Technical Coordination Project Office at Vanderbilt University’s Institute for Software Integrated Systems (VU-ISIS), where she is responsible for managing the coordination of collaborative R&D activities on the Cyber-Physical Systems-Virtual Organization that are sponsored by Federal agencies belonging to the Networking and Information Technology R&D (NITRD) Program. Before joining VU-ISIS, King served as the Technical Coordinator for the High Confidence Software and Systems (HCSS) Program Component Area (PCA) at the National Coordination Office (NCO) for NITRD for nearly seven years.  Ms. King has over twenty-eight years of program development and management experience in domestic and international policy affairs where she has served in high-level capacities in the executive and legislative branches of the U.S. government and the private sector. Ms King’s work experience spans several domains, including the areas of information technology R&D, economics, agriculture, trade, and foreign assistance. Ms. King received an MA degree from the University of Notre Dame in 1984, and a BA degree from Fisk University in 1983, where she graduated Summa Cum Laude.

Performance Period: 06/15/2022 - 05/31/2024
Institution: Vanderbilt University
Award Number: 2228183
Conference: 2024 CPS PI Meeting
Frankie King
Lead PI:
Frankie King
Abstract

The purpose of this project is to plan and organize the 2024 National Science Foundation (NSF) Cyber-Physical Systems (CPS) Principal Investigator (PI) Meeting that is scheduled for the Spring of 2024 in Nashville, Tennessee. This meeting convenes PIs with active CPS Program awards for the 14th time since the program began.

Frankie King

Frankie Denise King is the Assistant Director of the Annapolis Technical Coordination Project Office at Vanderbilt University’s Institute for Software Integrated Systems (VU-ISIS), where she is responsible for managing the coordination of collaborative R&D activities on the Cyber-Physical Systems-Virtual Organization that are sponsored by Federal agencies belonging to the Networking and Information Technology R&D (NITRD) Program. Before joining VU-ISIS, King served as the Technical Coordinator for the High Confidence Software and Systems (HCSS) Program Component Area (PCA) at the National Coordination Office (NCO) for NITRD for nearly seven years.  Ms. King has over twenty-eight years of program development and management experience in domestic and international policy affairs where she has served in high-level capacities in the executive and legislative branches of the U.S. government and the private sector. Ms King’s work experience spans several domains, including the areas of information technology R&D, economics, agriculture, trade, and foreign assistance. Ms. King received an MA degree from the University of Notre Dame in 1984, and a BA degree from Fisk University in 1983, where she graduated Summa Cum Laude.

Performance Period: 08/01/2023 - 07/31/2024
Institution: Vanderbilt University
Award Number: 2333932
Collaborative Research: CPS: TTP Option: Medium: Sharing Farm Intelligence via Edge Computing
Lead PI:
Flavio Esposito
Co-PI:
Abstract

In the era of data sharing, it is still challenging, insecure, and time-consuming for scientists to share lessons learned from agricultural data collection and data processing. The focus of this project is to mitigate such challenges by intersecting expertise in plant science, secure networked systems, software engineering, and geospatial science. The proposed cyber-physical system will be evaluated in the laboratory and deployed on real crop farms in Missouri, Illinois, and Tennessee.

Performance Period: 10/01/2022 - 09/30/2025
Institution: Saint Louis University
Award Number: 2133407
CPS: Medium: Collaborative Research: Transforming Connected and Automated Transportation with Smart Networking, Cooperative Sensing, and Edge Computing
Lead PI:
Feng Qian
Abstract

This NSF Cyber-Physical Systems (CPS) grant will advance the state-of-the-art of Connected and Automated Vehicle (CAV) systems by innovating in the three key areas of networking, sensing, and computation, as well as the synergy among them. This work leverages several emerging technology trends that are expected to transform the ground transportation system: much higher-speed wireless connectivity, improved on-vehicle and infrastructure based sensing capabilities, and advances in machine learning algorithms.

Performance Period: 06/01/2021 - 05/31/2024
Institution: University of Minnesota-Twin Cities
Award Number: 2038559
CAREER: Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected and Autonomous Vehicles
Fei Miao
Lead PI:
Fei Miao
Abstract

The rapid evolution of ubiquitous sensing, communication, and computation technologies has contributed to the revolution of cyber-physical systems (CPS). Learning-based methodologies are integrated to the control of physical systems and demonstrating impressive performance in many CPS domains and connected and autonomous vehicles (CAVs) system is one such example with the development of vehicle-to-everything communication technologies. However, existing literature still lacks understanding of the tridirectional relationship among communication, learning, and control.

Performance Period: 06/01/2021 - 05/31/2026
Institution: University of Connecticut
Award Number: 2047354
Collaborative Research: CPS: Medium: Wildland Fire Observation, Management, and Evacuation using Intelligent Collaborative Flying and Ground Systems
Lead PI:
Fatemeh Afghah
Abstract

Increasing wildfire costs---a reflection of climate variability and development within wildlands---drive calls for new national capabilities to manage wildfires. The great potential of unmanned aerial systems (UAS) has not yet been fully utilized in this domain due to the lack of holistic, resilient, flexible, and cost-effective monitoring protocols.

Performance Period: 10/01/2021 - 04/30/2024
Institution: Clemson University
Award Number: 2204445
CAREER: Toward Autonomous Decision Making and Coordination in Intelligent Unmanned Aerial Vehicles' Operation in Dynamic Uncertain Remote Areas
Lead PI:
Fatemeh Afghah
Abstract

Unmanned aerial vehicles (UAVs) have been increasingly utilized in several commercial and civil applications such as package delivery, traffic monitoring, precision agriculture, remote sensing, border patrol, hazard monitoring, disaster relief, and search and rescue operations to collect data/imagery for a ground command station nearby.

Performance Period: 08/01/2022 - 07/31/2025
Institution: Clemson University
Award Number: 2232048
Subscribe to