22 citations · 64 across the 31 of their papers we have counts for
11 papers · 1 filter
Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games
Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3
Multi-agent games in dynamic nonlinear settings are challenging due to the time-varying interactions among the agents and the non-stationarity of the (potential) Nash equilibria. I…
ECO-DKF: Event-Triggered and Certifiable Optimal Distributed Kalman Filter under Unknown Correlations
Eduardo Sebastián, Eduardo Montijano, Carlos Sagüés
This paper presents ECO-DKF, the first Event-Triggered and Certifiable Optimal Distributed Kalman Filter. Our algorithm addresses two major issues inherent to Distributed Kalman Fi…
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks
Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2
The graph identification problem consists of discovering the interactions among nodes in a network given their state/feature trajectories. This problem is challenging because the b…
Distributed outer approximation of the intersection of ellipsoids
Rodrigo Aldana-Lopez, Eduardo Sebastian, Rosario Aragues +2
The outer Lowner-John method is widely used in sensor fusion applications to find the smallest ellipsoid that can approximate the intersection of a set of ellipsoids, described by…
Multi-robot Implicit Control of Massive Herds
Eduardo Sebastian, Eduardo Montijano, Carlos Sagues
This paper solves the problem of herding countless evaders by means of a few robots. The objective is to steer all the evaders towards a desired tracking reference while avoiding e…
LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2
This paper presents LEMURS, an algorithm for learning scalable multi-robot control policies from cooperative task demonstrations. We propose a port-Hamiltonian description of the m…
Adaptive Multi-robot Implicit Control of Heterogeneous Herds
Eduardo Sebastián, Eduardo Montijano, Carlos Sagüés
This paper presents a novel control strategy to herd groups of non-cooperative evaders by means of a team of robotic herders. In herding problems, the motion of the evaders is typi…
All-in-one: Certifiable Optimal Distributed Kalman Filter under Unknown Correlations
Eduardo Sebastián, Eduardo Montijano, Carlos Sagüés
The optimal fusion of estimates in a Distributed Kalman Filter (DKF) requires tracking of the complete network error covariance, problematic in terms of memory and communication. A…
Multi-robot Implicit Control of Herds
Eduardo Sebastián, Eduardo Montijano
This paper presents a novel control strategy to herd a group of non-cooperative evaders by means of a team of robotic herders. In herding problems, the motion of the evaders is typ…
Distributed estimation and control of node centrality in undirected asymmetric networks
Eduardo Montijano, Gabriele Oliva, Andrea Gasparri
Measures of node centrality that describe the importance of a node within a network are crucial for understanding the behavior of social networks and graphs. In this paper, we addr…
Chebyshev Polynomials in Distributed Consensus Applications
Eduardo Montijano, Juan I. Montijano, Carlos Sagues
In this paper we analyze the use of Chebyshev polynomials in distributed consensus applications. We study the properties of these polynomials to propose a distributed algorithm tha…