Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Carlos Sampedro Perez
Categoría Investigador
CONTRATADO CON CARGO A PROYECTO UPM-OTT
Escuela UPM
E.T.S. DE INGENIEROS INDUSTRIALES
Departamento:
AUTOMÁTICA, INGENIERÍA ELÉCTRICA Y ELECTRÓNICA E INFORMÁTICA INDUSTRIAL
Area Conocimiento
SIN AREA DE CONOCIMIENTO
Grupo de Investigación:
Sin grupo de investigación
Email (Directorio UPM)
carlos.sampedro
upm.es
Investigador no vigente en la UPM
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
4 Proyectos de I+D+i
1: (2015)
UECIMUAVS- USA and Europe Cooperation in Mini UAVs.
2: (2016)
I2L: INSPECCIÓN INTELIGENTE DE LÍNEAS
3: (2016)
SISTEMA AUTÓNOMO DE VIGILANCIA Y SEGURIDAD BASADO EN MULTIROTORES (ADVISE)
4: (2016)
SISTEMA AUTÓNOMO PARA LA INTERVENCIÓN EN EMERGENCIAS (SALINE)
Formación de Investigadores y Movilidad
1 Tesis Doctorales
1: (2019)
Learning-Based Perception, Control, and Navigation for Autonomous Missions in Aerial Robotics
Difusión de Resultados de Investigación
32 Artículos en revistas
1: (2015)
Automated Low-Cost Smartphone-Based Lateral Flow Saliva Test Reader for Drugs-of-Abuse Detection
2: (2017)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform (under review)
3: (2017)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform (under review)
4: (2017)
A Flight Altitude Estimator for Multirotor UAVs in Dynamic and Unstructured Indoor Environments
5: (2017)
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments Using Deep Learning Techniques (under review)
6: (2017)
A Fully-Autonomous Aerial Robotic Solution for the 2016 International Micro Air Vehicle Competition
7: (2017)
A Multi-Layered Component-Based Approach for the Development of Aerial Robotic Systems: The Aerostack Framework
8: (2017)
A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles
9: (2017)
Fast and Robust Flight Altitude Estimation of Multi-Rotor UAVs in Dynamic Unstructured Environments using 3D Point Cloud Sensors (under review)
10: (2017)
TML: a language to specify aerial robotic missions for the framework Aerostack
11: (2017)
Towards Fully Autonomous Landing on Moving Platforms for Rotary Unmanned Aerial Vehicles
12: (2018)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform?
13: (2018)
A Deep Reinforcement Learning Technique for Vision-Based Autonomous Multirotor Landing on a Moving Platform
14: (2018)
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques
15: (2018)
A Fully-Autonomous Aerial Robotic Solution for the 2016 International Micro Air Vehicle Competition
16: (2018)
Fast and Robust Flight Altitude Estimation of Multirotor UAVs in Dynamic Unstructured Environments Using 3D Point Cloud Sensors
17: (2018)
Image-Based Visual Servoing Controller for Multirotor Aerial Robots Using Deep Reinforcement Learning
18: (2018)
Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning
19: (2018)
Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning
20: (2018)
Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments
21: (2018)
Stereo Visual Odometry and Semantics based Localization of Aerial Robots in Indoor Environments
22: (2018)
The Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection
23: (2019)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform
24: (2019)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform
25: (2019)
A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform
26: (2019)
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques
27: (2019)
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques
28: (2019)
Deep learning based semantic situation awareness system for multirotor aerial robots using LIDAR
29: (2019)
Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings
30: (2019)
Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings
31: (2019)
Deep Learning-Based System for Automatic Recognition and Diagnosis of Electrical Insulator Strings
32: (2019)
Laser-based Collision Avoidance and Reactive Navigation using RRT* and Signed Distance Field for Multirotor UAVs
3 Cursos, seminarios y tutoriales
1: (2015)
"Flight of Drones and more amazing Robots" in the VI Edition of the European Night of Researchers.
2: (2015)
'Primeras Jornadas de Drones'
3: (2016)
Civil Drone Congress
21 Ponencia en Congresos
1: (2014)
A Supervised Approach to Electric Tower Detection and Classification for Power Line Inspection.
2: (2014)
Towards Autonomous Detection and Tracking of Electric Towers for Aerial Power Line Inspection
3: (2016)
A Flexible and Dynamic Mission Planning Architecture For UAV Swarm Coordination
4: (2016)
A Flexible and Dynamic Mission Planning Architecture For UAV Swarm Coordination
5: (2016)
A flexible and dynamic mission planning architecture for uav swarm coordination
6: (2016)
A monocular pose estimation strategy for uav autonomous navigation in gnss-denied environments
7: (2016)
A Real-time Supervised Learning Approach for Sky Segmentation Onboard Unmanned Aerial Vehicles
8: (2016)
A Real-time Supervised Learning Approach for Sky Segmentation Onboard Unmanned Aerial Vehicles
9: (2016)
AEROSTACK: An Architecture and Open-Source Software Framework for Aerial Robotics
10: (2016)
AEROSTACK: An Architecture and Open-Source Software Framework for Aerial Robotics
11: (2016)
Natural User Interfaces for Human-Drone Multi-Modal Interaction
12: (2016)
Natural User Interfaces for Human-Drone Multi-Modal Interaction
13: (2016)
Specifying Complex Missions for Aerial Robotics in Dynamic Environments
14: (2016)
Specifying Complex Missions for Aerial Robotics in Dynamic Environments
15: (2017)
A flight altitude estimator for multirotor uavs in dynamic and unstructured indoor environments
16: (2017)
A fully-autonomous aerial robotic solution for the 2016 international micro air vehicle competition
17: (2017)
Towards fully autonomous landing on moving platforms for rotary Unmanned Aerial Vehicles
18: (2018)
A flight altitude estimator for multirotor uavs in dynamic and unstructured indoor environments
19: (2018)
Towards fully autonomous landing on moving platforms for rotary Unmanned Aerial Vehicles
20: (2019)
Deep Learning Based Semantic Situation Awareness System for Multirotor Aerial Robots using LIDAR
21: (2019)
Laser-based Collision Avoidance and Reactive Navigation using RRT* and Signed Distance Field for Multirotor UAVs
• TOMA DE DATOS DE MEMORIAS Y CV
• UPM.ES
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
