activity
20222024
most citedAVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion

4 citations · 8 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2024★ 4 cited

AVOCADO: Adaptive Optimal Collision Avoidance driven by Opinion

Diego Martinez-Baselga, Eduardo Sebastián, Eduardo Montijano +3

We present AVOCADO (AdaptiVe Optimal Collision Avoidance Driven by Opinion), a novel navigation approach to address holonomic robot collision avoidance when the robot does not know…

math.OC2024

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization

Eduardo Sebastián, Mauro Franceschelli, Andrea Gasparri +2

This paper presents a novel accelerated distributed algorithm for unconstrained consensus optimization over static undirected networks. The proposed algorithm combines the benefits…

math.OC2024

Distributed Discrete-time Dynamic Outer Approximation of the Intersection of Ellipsoids

Eduardo Sebastián, Rodrigo Aldana-López, Rosario Aragüés +2

This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an u…

cs.RO2024★ 3 cited

Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems

Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2

The networked nature of multi-robot systems presents challenges in the context of multi-agent reinforcement learning. Centralized control policies do not scale with increasing numb…

eess.SY2023

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…

eess.SY2023

Estimation of Semiconductor Power Losses Through Automatic Thermal Modeling

Jose Miguel Sanz-Alcaine, Eduardo Sebastian, Francisco Jose Perez-Cebolla +3

The optimal design of power converters requires accurate knowledge of the dissipation elements of its system to achieve the desired performance and security requirements. Calorimet…

eess.SY2023

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…

eess.SY2023★ 1 cited

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…

eess.SY2022

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…

eess.SY2022

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…

eess.SY2022

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…