C. (Carlos) Hernandez Corbato
C. (Carlos) Hernandez Corbato
Profiel
Projecten
ROSIN: ROS-Industrial Quality-Assured Robot Software Components - Coordinator http://rosin-project.eu H2020 grant nr 732287
Biografie
personal website
Carlos Hernandez Corbato is an Assistant Professor at the Cognitive Robotics Department of TU Delft since May 2019. In 2016, Carlos led Team Delft to win the Amazon Robotics Challenge. He is currently coordinator of the ROSIN and the MROS European projects granted in the H2020 program. He has participated in other national and European projects in the topics of cognitive robotics and factories of the future.
Carlos holds degrees (MSc) equivalent in general engineering (2006) and in automation and robotics (2008) from the Universidad Politecnica de Madrid.
Carlos was a postdoc at TU Delft (2015-2019), first at the Biomechanical Department and later at Cognitive Robotics. From 2006-2012 he was working as MSc and PhD student with Ricardo Sanz at the Autonomous Systems Lab, Universidad Politecnica de Madrid, and graduated Sobresaliente Cum Laude as International Doctor in 2013.
He has been visiting research student at the Center for Analysis and Design of Intelligent Agents in Reykjavik University in 2009 and 2010.
From 2012-2015 Carlos worked in industry as founding partner and project leader at Global Incubator S.L. in Leganes, Spain.
Carlos serves as associate editor for IROS, and has served as reviewer for IROS, ICRA, IFAC, RSS and relevant journals for robotics and systems engineering such as IEEE Transaction on Industrial Informatics, IEEE Access, IEEE Systems Engineering and Integrated Computer-Aided Engineering.
Carlos’ research interests are related to cognition and autonomy and include:
software architectures for intelligent robot control, knowledge representation and reasoning, model-based systems engineering and self-adaptive systems.
Publicaties
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2022
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference
Mohamed Baioumy / Corrado Pezzato / Carlos Hernández Corbato / Nick Hawes / Riccardo Ferrari
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2021
A Modeling Tool for Reconfigurable Skills in ROS
Darko Bozhinoski / Esther Aguado / Mario Garzon Oviedo / Carlos Hernandez / Ricardo Sanz / Andrzej Wasowski
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2021
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference
Mohamed Baioumy / C. Pezzato / Riccardo Ferrari / Carlos Hernández Corbato / Nick Hawes
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2021
Functional self-awareness and metacontrol for underwater robot autonomy
Esther Aguado / Zorana Milosevic / Carlos Hernández / Ricardo Sanz / Mario Garzon / Darko Bozhinoski / Claudio Rossi
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2020
A Novel Adaptive Controller for Robot Manipulators Based on Active Inference
Corrado Pezzato / Riccardo M.G. Ferrari / Carlos Hernández
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Media
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2016-07-05
Team Delft Wins Amazon Picking Challenge 2016
Verscheen in: IEEE Spectrum
Nevenwerkzaamheden
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2021-09-01 - 2023-09-01