activity
20172025
most citedLearning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach

5 citations · 7 across the 14 of their papers we have counts for

collaborators

16 papers

cs.RO2025

Online Multi-Robot Coordination and Cooperation with Task Precedence Relationships

Walker Gosrich, Saurav Agarwal, Kashish Garg +4

We propose a new formulation for the multi-robot task allocation problem that incorporates (a) complex precedence relationships between tasks, (b) efficient intra-task coordination…

eess.SY2023

Extended Set-based Tasks for Multi-task Execution and Prioritization

Gennaro Notomista, Mario Selvaggio, Francesca Pagano +4

The ability of executing multiple tasks simultaneously is an important feature of redundant robotic systems. As a matter of fact, complex behaviors can often be obtained as a resul…

cs.RO2023★ 5 cited

Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach

Diego Patiño, Siddharth Mayya, Juan Calderon +2

Aerial operation in turbulent environments is a challenging problem due to the chaotic behavior of the flow. This problem is made even more complex when a team of aerial robots is…

cs.RO2022

Multi-Robot Coordination and Cooperation with Task Precedence Relationships

Walker Gosrich, Siddharth Mayya, Saaketh Narayan +3

We propose a new formulation for the multi-robot task planning and allocation problem that incorporates (a) precedence relationships between tasks; (b) coordination for tasks allow…

cs.RO2022

What Can Robots Teach Us About The COVID-19 Pandemic? Interactive Demonstrations of Epidemiological Models Using a Swarm of Brushbots

Gennaro Notomista, Siddharth Mayya

This paper describes the methodology and outcomes of a series of educational events conducted in 2021 which leveraged robot swarms to educate high-school and university students ab…

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…