62 citations · 107 across the 20 of their papers we have counts for
26 papers
Zespol: A Lightweight Environment for Training Swarming Agents
Shay Snyder, Kevin Zhu, Ricardo Vega +2
Agent-based modeling (ABM) and simulation have emerged as important tools for studying emergent behaviors, especially in the context of swarming algorithms for robotic systems. Des…
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations
Ricardo Vega, Kevin Zhu, Sean Luke +2
This paper proposes a novel methodology for addressing the simulation-reality gap for multi-robot swarm systems. Rather than immediately try to shrink or `bridge the gap' anytime a…
Distributed Swarm Learning for Internet of Things at the Edge: Where Artificial Intelligence Meets Biological Intelligence
Yue Wang, Zhi Tian, Xin Fan +3
With the proliferation of versatile Internet of Things (IoT) services, smart IoT devices are increasingly deployed at the edge of wireless networks to perform collaborative machine…
An Agent-Based Distributed Control of Networked SIR Epidemics
Mohammad Mubarak, Cameron Nowzari
This paper revisits a longstanding problem of interest concerning the distributed control of an epidemic process on human contact networks. Due to the stochastic nature and combina…
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo, Liang Zhao, Cameron Nowzari +3
Generalized from image and language translation, graph translation aims to generate a graph in the target domain by conditioning an input graph in the source domain. This promising…
Asynchronous Distributed Event-Triggered Coordination for Multi-Agent Coverage Control
Mohanad Ajina, Daniel Tabatabai, Cameron Nowzari
This paper re-visits a multi-agent deployment problem where agents are restricted from requesting information from other agents as well as sending acknowledgments when information…