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Nestor Arana-Arexolaleiba

Observed names: A. Nestor Arana, Arana-Arexolaleiba, N.; id_orcid 0000-0002-3305-8108, Arana-Arexolaleiba, Nestor, N Arana, N. Arana, N. Arana-Arejolaleiba, N. Arana-Arexolaleiba, Nestor Arana, Nestor Arana Arejolaleiba, Nestor Arana Arexolaleiba, Nestor Arana-Arejolaleiba
Observed institutions: Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Mondragon Unibertsitatea, Laboratoire d'Analyse et d'Architecture des Systèmes, BioCruces Health research Institute, National University of Engineering, Université de Toulouse, Aalborg University
ORCID: 0000-0002-3305-8108
Observed ORCID: 0000-0002-3305-8108
OpenAlex ID: A5075538425
A review on reinforcement learning for contact-rich robotic manipulation tasks
2022 · Íñigo Elguea-Aguinaco, Antonio Serrano-Muñoz, et al. · Robotics and Computer-Integrated Manufacturing · 177
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Defect detection on Polycrystalline solar cells using Electroluminescence and Fully Convolutional Neural Networks
2020 · Julen Balzategui, Luka Eciolaza, et al. · IEEE/SICE International Symposium on System Integration (SII) · 40
Semi-automatic quality inspection of solar cell based on Convolutional Neural Networks
2019 · Julen Balzategui, Luka Eciolaza, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 34
A Review on Reinforcement Learning for Motion Planning of Robotic Manipulators
2024 · Íñigo Elguea-Aguinaco, Ibai Inziarte-Hidalgo, et al. · International Journal of Intelligent Systems · 28
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A new method for Scheimpflug camera calibration
2011 · Aritz Legarda, Alberto Izaguirre, et al. · IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) · 21
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
2021 · Antonio Serrano-Muñoz, Nestor Arana-Arexolaleiba, et al. · The International Journal of Advanced Manufacturing Technology · 20
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Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
2020 · Mikel Etxeberria-Garcia, Mikel Labayen, et al. · IEEE/SICE International Symposium on System Integration (SII) · 20
Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
2022 · Íñigo Elguea-Aguinaco, Antonio Serrano-Muñoz, et al. · Applied Sciences · 17
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Comparison and error analysis of the standard pin-hole and Scheimpflug camera calibration models
2013 · Aritz Legarda, Alberto Izaguirre, et al. · IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) · 17
Analysis of Effects- and Preconditions-Based Service Representation in Ubiquitous Computing Environments
2008 · Aitor Urbieta, Ekain Azketa, et al. · IEEE International Conference on Semantic Computing (ICSC) · 17
Evaluating the Effect of Speed and Acceleration on Human Factors during an Assembly Task in Human–Robot Interaction (HRI)
2025 · Ainhoa Apraiz, Ganix Lasa, et al. · International Journal of Social Robotics · 16
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The user experience in industrial human-robot interaction: A comparative analysis of Unimodal and Multimodal interfaces for disassembly tasks
2025 · Ainhoa Apraiz, Ganix Lasa, et al. · Robotics and Computer-Integrated Manufacturing · 15
Transferring Human Manipulation Knowledge to Industrial Robots Using Reinforcement Learning
2019 · N. Arana-Arexolaleiba, N. Urrestilla-Anguiozar, et al. · Procedia Manufacturing · 15
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Shielded Reinforcement Learning: A review of reactive methods for safe learning
2023 · Haritz Odriozola-Olalde, Maider Zamalloa, et al. · IEEE/SICE International Symposium on System Integration (SII) · 13
Sheet metal forming global control system based on artificial vision system and force–acoustic sensors
2008 · P. Fillatreau, F.X. Bernard, et al. · Robotics and Computer-Integrated Manufacturing · 13
Deep Learning for Deflectometric Inspection of Specular Surfaces
2018 · Daniel Maestro-Watson, Julen Balzategui, et al. · Advances in intelligent systems and computing · 11
Towards robust shielded reinforcement learning through adaptive constraints and exploration: The fear field framework
2025 · Haritz Odriozola-Olalde, Maider Zamalloa, et al. · Engineering Applications of Artificial Intelligence · 10
Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case
2022 · Mikel Etxeberria-Garcia, Maider Zamalloa, et al. · IEEE Access · 9
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PBL Experience in Engineering School of Mondragon University
2017 · Nestor Arana-Arexolaleiba, Miren I. Zubizarreta · SensePublishers eBooks · 9
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
2023 · Antonio Serrano-Munoz, Inigo Elguea-Aguinaco, et al. · IEEE/SICE International Symposium on System Integration (SII) · 8
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Deflectometric data segmentation based on fully convolutional neural networks
2019 · Daniel Maestro Watson, Julen Balzategui, et al. · International Conference on Quality Control by Artificial Vision (QCAV) · 8
Forming processes control by means of artificial intelligence techniques
2008 · E. Sáenz de Argandoña, A. Aztiria, et al. · Robotics and Computer-Integrated Manufacturing · 8
LCD screen calibration for deflectometric systems considering a single layer refraction model
2017 · Daniel Maestro-Watson, Alberto Izaguirre, et al. · IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) · 7
Tracking-by-detection of multiple persons by a resample-move particle filter
2013 · Iker Zuriarrain, Alhayat Ali Mekonnen, et al. · Machine Vision and Applications · 7
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach
2020 · Daniel Maestro-Watson, Julen Balzategui, et al. · Journal of Electronic Imaging · 6
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Works count: 59
Citation count: 604
H-index: 14
I10-index: 18
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