7 citations · 11 across the 6 of their papers we have counts for
7 papers
Natural Language Interaction with Databases on Edge Devices in the Internet of Battlefield Things
Christopher D. Molek, Roberto Fronteddu, K. Brent Venable +1
The expansion of the Internet of Things (IoT) in the battlefield, Internet of Battlefield Things (IoBT), gives rise to new opportunities for enhancing situational awareness. To inc…
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
Raffaele Galliera, Thies Möhlenhof, Alessandro Amato +3
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications. In contexts such as disaster response,…
Safety-Aware Multi-Agent Learning for Dynamic Network Bridging
Raffaele Galliera, Konstantinos Mitsopoulos, Niranjan Suri +1
Addressing complex cooperative tasks in safety-critical environments poses significant challenges for multi-agent systems, especially under conditions of partial observability. We…
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera, Kristen Brent Venable, Matteo Bassani +1
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks. This paper introd…
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems
Mohammad Saeid Anwar, Emon Dey, Maloy Kumar Devnath +8
Gathering knowledge about surroundings and generating situational awareness for IoT devices is of utmost importance for systems developed for smart urban and uncontested environmen…
Enhancing object detection robustness: A synthetic and natural perturbation approach
Nilantha Premakumara, Brian Jalaian, Niranjan Suri +1
Robustness against real-world distribution shifts is crucial for the successful deployment of object detection models in practical applications. In this paper, we address the probl…
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu +1
Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support…