Search Results - "Iriondo, Ander"

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  1. 1

    Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications by Iriondo, Ander, Lazkano, Elena, Ansuategi, Ander

    Published in Sensors (Basel, Switzerland) (26-01-2021)
    “…Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used…”
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    Journal Article
  2. 2

    Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks by Sampath, Vignesh, Maurtua, Iñaki, Aguilar Martín, Juan José, Iriondo, Ander, Lluvia, Iker, Aizpurua, Gotzone

    Published in Sensors (Basel, Switzerland) (07-02-2023)
    “…Surface defect identification based on computer vision algorithms often leads to inadequate generalization ability due to large intraclass variation. Diversity…”
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    Journal Article
  3. 3

    Pick and Place Operations in Logistics Using a Mobile Manipulator Controlled with Deep Reinforcement Learning by Iriondo, Ander, Lazkano, Elena, Susperregi, Loreto, Urain, Julen, Fernandez, Ane, Molina, Jorge

    Published in Applied sciences (21-01-2019)
    “…Programming robots to perform complex tasks is a very expensive job. Traditional path planning and control are able to generate point to point collision free…”
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    Journal Article
  4. 4

    Dynamic mosaic planning for a robotic bin-packing system based on picked part and target box monitoring by Iriondo, Ander, Lazkano, Elena, Ansuategi, Ander, Fernandez, Ane, Maurtua, Iñaki

    “…This paper describes the dynamic mosaic planning method developed in the context of the PICKPLACE European project. The dynamic planner has allowed the…”
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    Journal Article
  5. 5

    Learning positioning policies for mobile manipulation operations with deep reinforcement learning by Iriondo, Ander, Lazkano, Elena, Ansuategi, Ander, Rivera, Andoni, Lluvia, Iker, Tubío, Carlos

    “…This work focuses on the operation of picking an object on a table with a mobile manipulator. We use deep reinforcement learning (DRL) to learn a positioning…”
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    Journal Article
  6. 6
  7. 7

    Vision Transformer based knowledge distillation for fasteners defect detection by Sampath, Vignesh, Maurtua, Inaki, Martin, Juan Jose Aguilar, Iriondo, Ander, Lluvia, Iker, Rivera, Andoni

    “…Computer vision based visual inspection systems are gaining enormous importance for manufacturing quality control in recent years due to the advent of…”
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    Conference Proceeding