40 citations · 60 across the 5 of their papers we have counts for
3 papers · 1 filter
Learning Connectivity-Maximizing Network Configurations
Daniel Mox, Vijay Kumar, Alejandro Ribeiro
In this letter we propose a data-driven approach to optimizing the algebraic connectivity of a team of robots. While a considerable amount of research has been devoted to this prob…
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina Tolstaya, Landon Butler, Daniel Mox +3
Many algorithms for control of multi-robot teams operate under the assumption that low-latency, global state information necessary to coordinate agent actions can readily be dissem…
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators
Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev +3
Multi-agent systems play an important role in modern robotics. Due to the nature of these systems, coordination among agents via communication is frequently necessary. Indeed, Perc…