Eduardo Feo Flushing

About

Eduardo Feo Flushing’s research lies at the intersection of multi-robot coordination, wireless communication, and task allocation, with a focus on enabling teams of mobile robots to operate effectively in dynamic, communication-constrained environments. His major contributions include developing integrated models that simultaneously address task allocation, data routing, and transmission scheduling—a holistic approach that moves beyond treating these problems in isolation. Notably, his work on dynamical relay node placement for mobile ad hoc networks (MANETs) and the use of mobile robotic relays for adaptive communication in search and rescue missions has garnered significant attention, with his top-cited paper accumulating 28 citations. Feo Flushing has also advanced decentralized coordination frameworks for heterogeneous teams, introducing load-balancing auctions and integer linear programming models for fair multi-target tracking. His recent CoLoSSI framework (2024) tackles the challenge of spatially distributed missions under communication restrictions, further cementing his impact. With over 120 total citations across his most-cited works, Feo Flushing’s research is essential reading for anyone interested in the practical deployment of multi-robot systems in real-world scenarios, from disaster response to environmental monitoring.

Research Focus

Key Achievements

Top Papers

1. 1
   A Dynamical Relay node placement solution for MANETs

   28 citations · 2017
2. 2
   Simultaneous task allocation, data routing, and transmission scheduling in mobile multi-robot teams

   22 citations · 2017
3. 3
   On Using Mobile Robotic Relays for Adaptive Communication in Search and Rescue Missions

   15 citations · 2016
4. 4
   Spatial prediction of wireless links and its application to the path control of mobile robots

   14 citations · 2014
5. 5
   An integer linear programming model for fair multitarget tracking in cooperative multirobot systems

   11 citations · 2018
6. 6
   On Decentralized Coordination for Spatial Task Allocation and Scheduling in Heterogeneous Teams

   11 citations · 2016
7. 7
   DRNS: Dynamical Relay Node Placement Solution

   8 citations · 2016
8. 8
   CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments

   7 citations · 2024
9. 9
   Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams

   7 citations · 2021
10. 10
    Cooperative and load-balancing auctions for heterogeneous multi-robot teams dealing with spatial and non-atomic tasks

    4 citations · 2020

Key Collaborators

Contact & Links