33 citations · 84 across the 17 of their papers we have counts for
19 papers
A Taxonomy on Collective Awareness
Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martín Molina +2
As robotic teams tackle increasingly complex tasks in dynamic and unstructured environments, effective coordination requires agents to maintain accurate, aligned representations of…
Distributed Coordination for Resilient Multi-UAV Remote Sensing: A Photovoltaic Inspection Case Study
Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martin Molina +1
Deploying multiple UAVs for remote sensing enables proportional reductions in mission time, but realizing these benefits requires the fleet to coordinate at runtime: distributing s…
Flight-Ready LiDAR-Inertial Odometry for Embedded Drone Platforms
Alvaro J. Gaona, David Perez-Saura, Francisco J. Anguita +1
Open-source LiDAR-inertial odometry (LIO) systems have achieved remarkable benchmark accuracy, yet current state-of-the-art implementations are primarily optimized for evaluation p…
REMIND: RE-Identification with Memory for INDoor Navigation
Pablo Diaz-Pereda, Alejandro Rodriguez-Ramos, David Perez-Saura +1
Mobile robots operating indoors must re-identify previously observed objects after long temporal gaps, significant viewpoint changes, and severe illumination variations. This remai…
Robust Graph Matching through Semantic Relationship Generation for SLAM
David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas +3
Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prio…
Dual Pose-Graph Semantic Localization for Vision-Based Autonomous Drone Racing
David Perez-Saura, Miguel Fernandez-Cortizas, Alvaro J. Gaona +1
Autonomous drone racing demands robust real-time localization under extreme conditions: high-speed flight, aggressive maneuvers, and payload-constrained platforms that often rely o…
Flocking behavior for dynamic and complex swarm structures
Carmen D. R. Pita-Romero, Pedro Arias-Perez, Miguel Fernandez-Cortizas +2
Maintaining the formation of complex structures with multiple UAVs and achieving complex trajectories remains a major challenge. This work presents an algorithm for implementing th…
A Methodology for Designing Knowledge-Driven Missions for Robots
Guillermo GP-Lenza, Carmen DR. Pita-Romero, Miguel Fernandez-Cortizas +1
This paper presents a comprehensive methodology for implementing knowledge graphs in ROS 2 systems, aiming to enhance the efficiency and intelligence of autonomous robotic missions…
Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones
Pedro Arias-Perez, Alvika Gautam, Miguel Fernandez-Cortizas +3
Recent advances have improved autonomous navigation and mapping under payload constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones due to their…
The landscape of Collective Awareness in multi-robot systems
Miguel Fernandez-Cortizas, David Perez-Saura, Ricardo Sanz +2
The development of collective-aware multi-robot systems is crucial for enhancing the efficiency and robustness of robotic applications in multiple fields. These systems enable coll…
Multi S-Graphs: An Efficient Distributed Semantic-Relational Collaborative SLAM
Miguel Fernandez-Cortizas, Hriday Bavle, David Perez-Saura +3
Collaborative Simultaneous Localization and Mapping (CSLAM) is critical to enable multiple robots to operate in complex environments. Most CSLAM techniques rely on raw sensor measu…
Local Gaussian Modifiers (LGMs): UAV dynamic trajectory generation for onboard computation
Miguel Fernandez-Cortizas, David Perez-Saura, Javier Rodriguez-Vazquez +1
Agile autonomous drones are becoming increasingly popular in research due to the challenges they represent in fields like control, state estimation, or perception at high speeds. W…
Multi S-graphs: A Collaborative Semantic SLAM architecture
Miguel Fernandez-Cortizas, Hriday Bavle, Jose Luis Sanchez-Lopez +2
Collaborative Simultaneous Localization and Mapping (CSLAM) is a critical capability for enabling multiple robots to operate in complex environments. Most CSLAM techniques rely on…
Aerostack2: A Software Framework for Developing Multi-robot Aerial Systems
Miguel Fernandez-Cortizas, Martin Molina, Pedro Arias-Perez +3
The development of autonomous aerial systems, particularly for multi-robot configurations, is a complex challenge requiring multidisciplinary expertise. Unlike ground robotics, aer…
Autonomous Aerial Robot for High-Speed Search and Intercept Applications
Alejandro Rodriguez-Ramos, Adrian Alvarez-Fernandez Hriday Bavle, Javier Rodriguez-Vazquez +8
In recent years, high-speed navigation and environment interaction in the context of aerial robotics has become a field of interest for several academic and industrial research stu…
Skyeye Team at MBZIRC 2020: A team of aerial and ground robots for GPS-denied autonomous fire extinguishing in an urban building scenario
Simon Martinez-Rozas, Rafael Rey, David Alejo +6
The paper presents a framework for fire extinguishing in an urban scenario by a team of aerial and ground robots. The system was developed to address Challenge 3 of the 2020Mohamed…
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles
Rocío Díaz de León Torres, Martín Molina, Pascual Campoy
This article reviews the applications of Bayesian Networks to Intelligent Autonomous Vehicles (IAV) from the decision making point of view, which represents the final step for full…
Drone Detection Using Depth Maps
Adrian Carrio, Sai Vemprala, Andres Ripoll +2
Obstacle avoidance is a key feature for safe Unmanned Aerial Vehicle (UAV) navigation. While solutions have been proposed for static obstacle avoidance, systems enabling avoidance…
Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties
Achim Kampker, Mohsen Sefati, Arya Abdul Rachman +2
Urban-oriented autonomous vehicles require a reliable perception technology to tackle the high amount of uncertainties. The recently introduced compact 3D LIDAR sensor offers a sur…