Juan Carlos Perafan Villota

Electrical Engineer graduated from the Universidad Autónoma de Occidente of Cali, with a Master's Degree in Electrical Engineering from the Universidad de Sao Paulo in Brazil, and currently works as a teacher at the Universidad Autónoma de Occidente in the Department of Automation and Electronics Engineering School .
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From 2008 to 2011 he coordinated the research group that was called Mobile Robotics group. The work that was done during that time focused on:
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Application of techniques for navigation of land mobile robots.
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Robotics cooperative with both mobile robots and manipulator arms.
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Socialization work in schools, first and second semester students were involved here.
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Participation of robotics events nationwide.
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Development of theses focused on mobile robotics and manipulators.
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He joined the robotics research group in 2017, where he currently develops the application of machine learning in computational vision, probabilistic techniques for sensory fusion, creation of 3D maps for use in localization tasks, mapping and navigation of aerial robots and / or terrestrial.
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Research areas:
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Group: GITCoD
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Lines of investigation:
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Computational vision, machine learning
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Publications:
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Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues – https://www.sciencedirect.com/science/article/pii/S0262885617301245
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A Simulation Framework for Multi-Vehicle Communication – http://ieeexplore.ieee.org/abstract/document/7402182/
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Aligning RGB-D Point Clouds through Adaptive Integration of Color and Depth Cues – http://ieeexplore.ieee.org/abstract/document/7402183/
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Simulation platform for cooperative vehicle systems – http://ieeexplore.ieee.org/abstract/document/6957874/
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Adaptive Selection of Color Images or Depth to Align RGB-D Point Clouds – http://ieeexplore.ieee.org/abstract/document/7024277/
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