Juan Andrade Cetto
Investigador Científico
Subline:
Mobile Robotics and Intelligent Systems
cetto (at) iri.upc.edu
93 4017336
http://www.iri.upc.edu/people/cetto
Juan is Research Scientist at IRI, former Director (2014-2020). He received the BSEE from CETYS Univ. in 1993, the MSEE from Purdue Univ. in 1995, and the PhD in Robotics from UPC in 2003 (EURON Georges Giralt Best PhD Award 2005). He is since 2008 full time researcher of CSIC at IRI, and has been PI in several national and EU projects. His areas of expertise are mobile robotics and computer vision.
As leader
As contributor
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ALLIES: Artificial inteLLigence In sustainable dEvelopment goalS
European Project
Start Date: 01/01/2024
Publications
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Y. Tian and J. Andrade-Cetto. SDformerFlow: Spiking neural network transformer for event-based optical flow, 27th International Conference on Pattern Recognition, 2024, Kolkata, in Pattern Recognition, Vol 15315 of Lecture Notes in Computer Science, pp. 475-491, 2024, Cham.
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J.A. Aguilar, D. Chanal, D. Chamagne, N. Yousfi, M. Péra, A.P. Husar and J. Andrade-Cetto. A hybrid control-oriented PEMFC model based on echo state networks and Gaussian radial basis functions. Energies, 17(2): 508, 2024.
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I. del Pino, A. Santamaria-Navarro, A. Garrell Zulueta, F. Torres and J. Andrade-Cetto. Probabilistic graph-based real-time ground segmentation for urban robotics. IEEE Transactions on Intelligent Vehicles, 9(5): 4989-5002, 2024.
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Y. Tian and J. Andrade-Cetto. Egomotion from event-based SNN optical flow, 2023 ACM International Conference on Neuromorphic Systems, 2023, Santa Fe, NM, USA, pp. 8:1-8.
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W.O. Chamorro, J. Solà and J. Andrade-Cetto. Event-IMU fusion strategies for faster-than-IMU estimation throughput, 4th CVPR International Workshop on Event Vision, 2023, Vancouver, pp. 3975-3982.
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Y. Tian and J. Andrade-Cetto. Event transformer FlowNet for optical flow estimation, 2022 British Machine Vision Conference, 2022, London.
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Y. Tian and J. Andrade-Cetto. Spiking neural network for event camera ego-motion estimation, 2022 nanoGe MAT-SUS Symposium on Neuromorphic Sensory-Processing-Learning Systems inspired in Computational Neuroscience, 2022, Barcelona.
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J.A. Aguilar, J. Andrade-Cetto and A.P. Husar. Control oriented estimation of the exchange current density in PEM fuel cells via stochastic filtering. International Journal of Energy Research, 46(15): 22516-22529, 2022.
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W.O. Chamorro, J. Solà and J. Andrade-Cetto. Event-based line SLAM in real-time. IEEE Robotics and Automation Letters, 7(3): 8146-8153, 2022.
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J. Solà, J. Vallvé, J. Casals, J. Deray, M. Fourmy, D. Atchuthan, A. Corominas Murtra and J. Andrade-Cetto. WOLF: A modular estimation framework for robotics based on factor graphs. IEEE Robotics and Automation Letters, 7(2): 4710-4717, 2022.
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PhD Theses as supervisor
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Advanced fuel cell control and motion planning for durability and efficiency improvement of a mobile robot PEMFC power plant
Student:
José Agustín Aguilar Plazaola
Started:
01/10/2018
Description
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Bio-inspired Event-driven Intelligence for Motion Estimation
Student:
Yi Tian
Started:
23/01/2020
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Collision avoidance based on object detection with event cameras for autonomous vehicles
Student:
Raquel De Frutos Arranz
Started:
01/10/2023
Description
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