Prof. Dario Pompili has been awarded a new NSF award for the project titled "Enabling Real-time Dynamic Control and Adaptation of Networked Robots in Resource-constrained and Uncertain Environments." This is a three-year $999,904 collaborative effort with Prof. Pompili as the Principal Investigator and Prof. Jingang Yi and Francisco Diez-Garias from Dept. of Mechanical & Aerospace Engineering​, Rutgers University as the Co-Principal Investigators. 

The goal of this project is to enable near-real-time water-body monitoring using their novel sensing architecture via dynamic collaboration between local (Naviators, Underwater robots) and Cloud resources so to take timely decisions on the locations where the team of Naviators/Underwater robots/boats should be steered, to collect and process water-quality measurements, and to decide how the water in various bodies should be treated.The research efforts will be focused on the design, deployment, and evaluation of novel sensorcentric online data management and analysis that can support transformative CPS research at the triple point of engineering, technology, and science. We will propose innovative control and management techniques that  allow to integrate and couple computational models (e.g., water current, localization, team coordination, workflow scheme, and approximate computing) with physical systems (e.g., in-situ data measurements, distributed robotics, biosampling), and deliver revolutionary CPS applications and services. 

Specifically, as part of this project Prof. Pompili and his team will propose solutions to handle the computing challenges, specifically, resource uncertainty, which arises when the local resources are connected intermittently to the cloud; poor network connectivity between local resources—Hybrid Underwater- Aerial (HUV)/Underwater Vehicles (UVs)—in the environment may lead to frequent disconnections of the resources with the local network, as a result of which the local resources may not be able to communicate with each other or to the cloud and/or transfer raw data/intermediate results of the application. To handle such situations the team will design an autonomic solution to enable the successful execution of critical tasks in a resource pool via the novel concept of controlled replication of tasks or self-protection. 

You can find more details on the project at the NSF page here.

Congratulations Prof. Pompili!

The National Science Foundation DARPA Dept of the Navy Science and Technology Department of Energy Department of Homeland Security

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