Nestor Arana-Arexolaleiba

According to our database, Nestor Arana-Arexolaleiba authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks.

Íñigo Elguea-Aguinaco, Aitor Aguirre Ortuzar, Unai Izagirre-Aizpitarte, Ibai Inziarte-Hidalgo, Simon Bøgh, Nestor Arana-Arexolaleiba

Knowl. Based Syst., 2025

2023

A review on reinforcement learning for contact-rich robotic manipulation tasks.

Íñigo Elguea-Aguinaco, Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Ibai Inziarte-Hidalgo, Simon Bøgh, Nestor Arana-Arexolaleiba

Robotics Comput. Integr. Manuf., June, 2023

skrl: Modular and Flexible Library for Reinforcement Learning.

Antonio Serrano-Muñoz, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba

J. Mach. Learn. Res., 2023

A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots.

Antonio Serrano-Muñoz, Íñigo Elguea-Aguinaco, Dimitrios Chrysostomou, Simon Bøgh, Nestor Arana-Arexolaleiba

Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Shielded Reinforcement Learning: A review of reactive methods for safe learning.

Haritz Odriozola-Olalde, Maider Zamalloa, Nestor Arana-Arexolaleiba

Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning.

Haritz Odriozola-Olalde, Nestor Arana-Arexolaleiba, Maider Zamalloa, Jon Pérez-Cerrolaza, Jokin Arozamena-Rodríguez

Proceedings of the IJCAI-23 Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning (AISafety-SafeRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence(IJCAI2023), 2023

2022

Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case.

Mikel Etxeberria-Garcia, Maider Zamalloa, Nestor Arana-Arexolaleiba, Mikel Labayen

IEEE Access, 2022

2020

Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach.

Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba

J. Electronic Imaging, 2020

Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation.

Mikel Etxeberria-Garcia, Mikel Labayen, Maider Zamalloa, Nestor Arana-Arexolaleiba

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

Defect detection on Polycrystalline solar cells using Electroluminescence and Fully Convolutional Neural Networks.

Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019

Semi-automatic quality inspection of solar cell based on Convolutional Neural Networks.

Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba, Jon Altube, Jean-Philippe Aguerre, Iñaki Legarda-Ereño, Aitor Apraiz

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

Deep Learning for Deflectometric Inspection of Specular Surfaces.

Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018