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20192021
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cs.RO20238 cited

RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research

Spencer Folk, James Paulos, Vijay Kumar

Simulators play a critical role in aerial robotics both in and out of the classroom. We present RotorPy, a simulation environment written entirely in Python intentionally designed…

cs.RO2021

Coverage Control in Multi-Robot Systems via Graph Neural Networks

Walker Gosrich, Siddharth Mayya, Rebecca Li +4

This paper develops a decentralized approach to mobile sensor coverage by a multi-robot system. We consider a scenario where a team of robots with limited sensing range must positi…

cs.RO2021

Dispersion-Minimizing Motion Primitives for Search-Based Motion Planning

Laura Jarin-Lipschitz, James Paulos, Raymond Bjorkman +1

Search-based planning with motion primitives is a powerful motion planning technique that can provide dynamic feasibility, optimality, and real-time computation times on size, weig…

cs.RO2021

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…

cs.RO2020

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…

cs.RO2019

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks

Ekaterina Tolstaya, Fernando Gama, James Paulos +3

We consider the problem of finding distributed controllers for large networks of mobile robots with interacting dynamics and sparsely available communications. Our approach is to l…