Publikationen (44) Publikationen von Nestor Arana Arexolaleiba

2023

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

    2023 IEEE/SICE International Symposium on System Integration, SII 2023

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

    Robotics and Computer-Integrated Manufacturing, Vol. 81

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

    CEUR Workshop Proceedings

  4. Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study

    International Journal of Advanced Manufacturing Technology, Vol. 124, Núm. 9, pp. 3171-3183

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

    2023 IEEE/SICE International Symposium on System Integration, SII 2023

2022

  1. Evaluation of the user experience of an industrial robotic environment in virtual reality

    Proceedings from the International Congress on Project Management and Engineering

  2. Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment

    Applied Sciences (Switzerland), Vol. 12, Núm. 22

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

    IEEE Access, Vol. 10, pp. 69200-69215

  4. skrl: Modular and Flexible Library for Reinforcement Learning

    Journal of Machine Learning Research, Vol. 23

2021

  1. Generative design of 3D printed grippers for robot/human collaborative environments

    2021 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics, ECMSM 2021

  2. Image Enhancement using GANs for Monocular Visual Odometry

    2021 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics, ECMSM 2021

  3. Monocular visual odometry for underground railway scenarios

    Proceedings of SPIE - The International Society for Optical Engineering

2020

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

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

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

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

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

    Journal of Electronic Imaging, Vol. 29, Núm. 4

  4. FlexRQC: Model for a flexible robot-driven quality control station

    Procedia Manufacturing

2019

  1. Deep Learning for Deflectometric Inspection of Specular Surfaces

    Advances in Intelligent Systems and Computing

  2. Deflectometric data segmentation based on fully convolutional neural networks

    Proceedings of SPIE - The International Society for Optical Engineering

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

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

  4. Transferring human manipulation knowledge to industrial robots using reinforcement learning

    Procedia Manufacturing