Deep Learning for Deflectometric Inspection of Specular Surfaces. - Daniel Maestro-Watson; Julen Balzategui; Luka Eciolaza; Nestor Arana-Arexolaleiba (SOCO-CISIS-ICEUTE, 2018)

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 (ETFA, 2019)

Defect detection on Polycrystalline solar cells using Electroluminescence and Fully Convolutional Neural Networks. - Julen Balzategui; Luka Eciolaza; Nestor Arana-Arexolaleiba (SII, 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 (SII, 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)

Visual Odometry in Challenging Environments: An Urban Underground Railway Scenario Case. - Mikel Etxeberria-Garcia; Maider Zamalloa; Nestor Arana-Arexolaleiba; Mikel Labayen (IEEE Access, 2022)

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 (AISafety/SafeRL@IJCAI, 2023)

Shielded Reinforcement Learning: A review of reactive methods for safe learning. - Haritz Odriozola-Olalde; Maider Zamalloa; Nestor Arana-Arexolaleiba (SII, 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 (SII, 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 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., 2023)

Towards robust shielded reinforcement learning through adaptive constraints and exploration: The fear field framework. - Haritz Odriozola-Olalde; Maider Zamalloa; Nestor Arana-Arexolaleiba; Jon Pérez-Cerrolaza (Eng. Appl. Artif. Intell., 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)

The user experience in industrial human-robot interaction: A comparative analysis of Unimodal and Multimodal interfaces for disassembly tasks. - Ainhoa Apraiz; Ganix Lasa; Maitane Mazmela; Nestor Arana-Arexolaleiba; Íñigo Elguea; Oscar Escallada; Nagore Osa; Amaia Etxabe (Robotics Comput. Integr. Manuf., 2025)

Evaluating the Effect of Speed and Acceleration on Human Factors during an Assembly Task in Human-Robot Interaction (HRI). - Ainhoa Apraiz; Ganix Lasa; Maitane Mazmela; Nestor Arana-Arexolaleiba; Antonio Serrano-Muñoz; Íñigo Elguea; Amaia Etxabe (Int. J. Soc. Robotics, 2025)