Carlos Sampedro

About

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Research Focus

Key Achievements

Top Papers

1. 1
   A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

   363 citations · 2017
2. 2
   A Deep Reinforcement Learning Strategy for UAV Autonomous Landing on a Moving Platform

   221 citations · 2018
3. 3
   A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques

   182 citations · 2018
4. 4
   Natural user interfaces for human-drone multi-modal interaction

   176 citations · 2016
5. 5
   AEROSTACK: An architecture and open-source software framework for aerial robotics

   77 citations · 2016
6. 6
   Image-Based Visual Servoing Controller for Multirotor Aerial Robots Using Deep Reinforcement Learning

   66 citations · 2018
7. 7
   A Multi-Layered Component-Based Approach for the Development of Aerial Robotic Systems: The Aerostack Framework

   62 citations · 2017
8. 8
   A Deep Reinforcement Learning Technique for Vision-Based Autonomous Multirotor Landing on a Moving Platform

   60 citations · 2018
9. 9
   Laser-Based Reactive Navigation for Multirotor Aerial Robots using Deep Reinforcement Learning

   45 citations · 2018
10. 10
    TML: a language to specify aerial robotic missions for the framework Aerostack

    17 citations · 2017

Key Collaborators