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  Jesus Pestana-Puerta

  Master student

  Universidad Politécnica Madrid







Jesus Pestana Puerta achieved his double undergraduate degree (2009) in: Automatics and Systems at Êcole Supérieure d’Electricité (Supélec, France) and Industrial Engineering at Universidad Politécnica de Madrid (UPM). He started working in the Computer Vision Group (GVG) in 2011, at the Centre for Automation and Robotics, joint venture CSIC-UPM, under the supervision of Prof. Pascual Campoy, where he realized his Final Master Project for the Master in Automation and Robotics at the UPM (2012) which was graded with Honors Mention. He has continued working on the same group and topic as a PhD Student, where he researchs on visual autonomous navigation and the realization of autonomous tasks with microUAVs.

He has developed and maintains several modules for the state estimation and the navigation of multirotors which have been demonstrated on various public events. He participated actively with the CVG, where these modules have been utilized, in two European venues of the International Competitions of Micro Air Vehicles (IMAVs): in the IMAV 2012 where the CVG was awarded with the second prize in the Indoors Dynamics challenge and the special award to the Best Automatic Performance; and in the IMAV 2013, where the CVG was awarded the first prize in the Indoors Autonomy challenge.

During an international research stay (Jan. 2012 – Jul. 2012) at Arizona State University, AZ (USA), in the Autonomous System Technologies Research & Integration Laboratory (ASTRIL) under the supervision of Dr. Srikanth Saripalli, he developed a robust visual servoing architecture for mUAVs and on assisting scientists to perform laboratory experiments utilizing Computer Vision techniques. The developed visual servoing architecture was nominated as Best Paper Award Finalist in The 11th anniversary of the IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2013).

Research Interests:
Navigation and mission control of MUAVs and other mobile robots, localization and mapping enhanced by computer vision,  3D vision, Structure from Motion, Parallel Tracking and Mapping, and Augmented Reality applied to User Interfaces
The objective of his work:
In the near future, Unmanned Aerial Vehicles (UAVs) will be able to semi-autonomously perform several civilian tasks. Computer vision greatly improves the capacity of robotic platforms to gather information about their environment, and also increase the human supervisor experience by peforming intelligent labeling on the acquired video stream.
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