2 citations · 2 across the 7 of their papers we have counts for
3 papers · 2 filters
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…
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…
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…