Browsing by Author "Pérez Paina , Gonzalo"

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    RoMAA-II, an Open Architecture Mobile Robot.
    (IEEE LATIN AMERICA TRANSACTIONS., 2014) Pérez Paina , Gonzalo; Araguás, Roberto Gastón; Gaydou, David Alejandro; Steiner, Guillermo; Canali , Luis
    The aim of designing and developing an open architecture mobile robot called RoMAA (in accordance with its name in Spanish) arises from the necessity to have a vehicle suitable for carrying out different experiments in the robotics research field. This vehicle has to have the ability to be easily adapted to different experiments in the research field of mobile robotics and computer vision. The present paper describes in detail the development of the final version of the robot –RoMAA- II– as an improvement of the original version RoMAA. The different parts that compose the robot are described which include the electromechanical components, the onboard embedded system, along with the high level software running in the on-board computer; together with the description of its more relevant characteristics. Nowadays, four fully operational RoMAA-II robots are available in the CIII, which are regularly used for experiments of different research projects.
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    Validation of an IMU-camera fusion algorithm using an industrial robot.
    (Jornadas Argentinas de Robótica, 2017) Pérez Paina , Gonzalo; Paz , Claudio; Pucheta, Martín Alejo; Bianchini, Bruno; Martínez , Fernando; Nievas , Martín
    The integration of down-looking camera with an in ertial measurement unit (IMU) sensor makes possible to provide a lightweight and low-cost pose estimation system for unmanned aerial vehicles (UAVs) and micro-UAVs (MAVs). Recently, the authors developed an algorithm for IMU and exteroceptive sensor fusion filter for position and orientation estimation. The aim of the estimation is to be used in the outer control loop of an UAV for position control. This work presents an experimental set up to test that algorithm using an industrial robot to produce accurate planar trajectories as a safe alternative to testing the algorithm on real UAVs. The results of the IMU-camera fusion estimation for linear positions and linear velocities show an error admissible to be integrated on real UAVs. Index Terms—sensor fusion, inertial measurement unit, monoc ular camera, industrial robot, error-state Kalman f