36 citations · 206 across the 41 of their papers we have counts for
7 papers · 1 filter
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks
Ting-Kuei Hu, Fernando Gama, Tianlong Chen +4
In this paper, we present a perception-action-communication loop design using Vision-based Graph Aggregation and Inference (VGAI). This multi-agent decentralized learning-to-contro…
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…
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
Ekaterina Tolstaya, James Paulos, Vijay Kumar +1
The multi-robot coverage problem is an essential building block for systems that perform tasks like inspection or search and rescue. We discretize the coverage problem to induce a…
Graph Neural Networks for Motion Planning
Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar +1
This paper investigates the feasibility of using Graph Neural Networks (GNNs) for classical motion planning problems. We propose guiding both continuous and discrete planning algor…
Mobile Wireless Network Infrastructure on Demand
Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko +3
In this work, we introduce Mobile Wireless In-frastructure on Demand: a framework for providing wireless connectivity to multi-robot teams via autonomously reconfiguring ad-hoc net…
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
Effective communication is key to successful, decentralized, multi-robot path planning. Yet, it is far from obvious what information is crucial to the task at hand, and how and whe…