22 citations · 64 across the 31 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
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…
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…
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…
CineMPC: Controlling Camera Intrinsics and Extrinsics for Autonomous Cinematography
Pablo Pueyo, Eduardo Montijano, Ana C. Murillo +1
We present CineMPC, an algorithm to autonomously control a UAV-borne video camera in a nonlinear Model Predicted Control (MPC) loop. CineMPC controls both the position and orientat…
GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization
Eric Cristofalo, Eduardo Montijano, Mac Schwager
We present a consensus-based distributed pose graph optimization algorithm for obtaining an estimate of the 3D translation and rotation of each pose in a pose graph, given noisy re…
CinemAirSim: A Camera-Realistic Robotics Simulator for Cinematographic Purposes
Pablo Pueyo, Eric Cristofalo, Eduardo Montijano +1
Drones and Unmanned Aerial Vehicles (UAV's) are becoming increasingly popular in the film and entertainment industries in part because of their maneuverability and the dynamic shot…
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
Riccardo Spica, Davide Falanga, Eric Cristofalo +3
To be successful in multi-player drone racing, a player must not only follow the race track in an optimal way, but also compete with other drones through strategic blocking, faking…