22 citations · 64 across the 31 of their papers we have counts for
11 papers · 1 filter
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…