22 citations · 64 across the 31 of their papers we have counts for
35 papers
ScaffoldM3C: A Multimodal Sequential Monte Carlo Framework for Generative Stable Construction Planning
Gadiel Sznaier Camps, Chengyang He, Guillaume Sartoretti +2
Autonomously constructing physically realizable 3D structures remains a significant challenge due to combinatorial action spaces, interchangeable components, equifinal assembly seq…
Curriculum Imitation Learning of Distributed Multi-Robot Policies
Jesús Roche, Eduardo Sebastián, Eduardo Montijano
Learning control policies for multi-robot systems (MRS) remains a major challenge due to long-term coordination and the difficulty of obtaining realistic training data. In this wor…
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…
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones
Carlos Plou, Pablo Pueyo, Ruben Martinez-Cantin +3
Gen-Swarms is an innovative method that leverages and combines the capabilities of deep generative models with reactive navigation algorithms to automate the creation of drone show…
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…
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…
EventSleep: Sleep Activity Recognition with Event Cameras
Carlos Plou, Nerea Gallego, Alberto Sabater +5
Event cameras are a promising technology for activity recognition in dark environments due to their unique properties. However, real event camera datasets under low-lighting condit…
SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
Sara Casao, Fernando Peña, Alberto Sabater +4
The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste r…
CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
This paper introduces CLIPSwarm, a new algorithm designed to automate the modeling of swarm drone formations based on natural language. The algorithm begins by enriching a provided…
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…
Cooperative Periodic Coverage With Collision Avoidance
José Manuel Palacios-Gasós, Eduardo Montijano, Carlos Sagüés +1
In this paper we propose a periodic solution to the problem of persistently covering a finite set of interest points with a group of autonomous mobile agents. These agents visit pe…
Equitable Persistent Coverage of Non-Convex Environments with Graph-Based Planning
José Manuel Palacios-Gasós, Danilo Tardioli, Eduardo Montijano +1
In this paper we tackle the problem of persistently covering a complex non-convex environment with a team of robots. We consider scenarios where the coverage quality of the environ…
CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition
Pablo Pueyo, Juan Dendarieta, Eduardo Montijano +2
We present CineMPC, a complete cinematographic system that autonomously controls a drone to film multiple targets recording user-specified aesthetic objectives. Existing solutions…
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…
CLIPSwarm: Converting text into formations of robots
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
We present CLIPSwarm, an algorithm to generate robot swarm formations from natural language descriptions. CLIPSwarm receives an input text and finds the position of the robots to f…
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…
CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
This work presents CineTransfer, an algorithmic framework that drives a robot to record a video sequence that mimics the cinematographic style of an input video. We propose feature…
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…
A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians
Sara Casao, Andrés Otero, Álvaro Serra-Gómez +3
Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and ph…
Robust Fusion for Bayesian Semantic Mapping
David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin +1
The integration of semantic information in a map allows robots to understand better their environment and make high-level decisions. In the last few years, neural networks have sho…
Active Classification of Moving Targets with Learned Control Policies
Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer +1
In this paper, we consider the problem where a drone has to collect semantic information to classify multiple moving targets. In particular, we address the challenge of computing c…
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…