Luis Mejias — accepted AI-conference papers

2018

BFM: a Scalable and Resource-Aware Method for Adaptive Mission Planning of UAVs

Chabha Hireche, Catherine Dezan, Jean-Philippe Diguet, Luis Mejias

ICRA 2018poster

UAVs must continuously adapt their mission to face unexpected internal or external hazards. This paper proposes a new BFM model (Bayesian Networks built from FMEA tables for MDP). This scalable model offers a modular and comprehensive method to incorporate different types of diagnosis modules based…

Cited by 17 Source ↗Scholar ↗

2018

Image-Based Visual Servoing Controller for Multirotor Aerial Robots Using Deep Reinforcement Learning

Carlos Sampedro, Alejandro Rodriguez-Ramos, Ignacio Gil, Luis Mejias, Pascual Campoy

IROS 2018poster

In this paper, we propose a novel Image-Based Visual Servoing (IBVS) controller for multirotor aerial robots based on a recent deep reinforcement learning algorithm named Deep Deterministic Policy Gradients (DDPG). The proposed RL-IBVS controller is successfully trained in a Gazebo-based simulation…

Cited by 74 Source ↗Scholar ↗