Learning Connectivity for Data Distribution in Robot Teams

1 code implementation • 8 Mar 2021 • Ekaterina Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro

To overcome this challenge, we propose a task-agnostic, decentralized, low-latency method for data distribution in ad-hoc networks using Graph Neural Networks (GNN).

Neurosymbolic Transformers for Multi-Agent Communication

1 code implementation • NeurIPS 2020 • Jeevana Priya Inala, Yichen Yang, James Paulos, Yewen Pu, Osbert Bastani, Vijay Kumar, Martin Rinard, Armando Solar-Lezama

We study the problem of inferring communication structures that can solve cooperative multi-agent planning problems while minimizing the amount of communication.

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks

1 code implementation • 25 Mar 2019 • Ekaterina Tolstaya, Fernando Gama, James Paulos, George Pappas, Vijay Kumar, Alejandro Ribeiro

We consider the problem of finding distributed controllers for large networks of mobile robots with interacting dynamics and sparsely available communications.

Robotics

Decentralization of Multiagent Policies by Learning What to Communicate

no code implementations • 24 Jan 2019 • James Paulos, Steven W. Chen, Daigo Shishika, Vijay Kumar

Effective communication is required for teams of robots to solve sophisticated collaborative tasks.

Robotics