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    • Evaluación de la experiencia de uso de un entorno robótico industrial en realidad virtual 

      Apraiz, Ainhoa; Lasa, Ganix; Arana-Arexolaleiba, Nestor; Serrano Muñoz, Antonio; Elguea, Íñigo (AEIPRO, 2022)
      Industry 4.0 is leading to a whole new level of process automation, thus redefining the role of humans, and altering existing jobs in yet unknown ways. Although the number of robots in the manufacturing industry has been ...
    • Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment 

      Arana-Arexolaleiba, Nestor (MDPI, 2022)
      The introduction of collaborative robots in industrial environments reinforces the need to provide these robots with better cognition to accomplish their tasks while fostering worker safety without entering into safety ...
    • Human-Robot Interaction with Unimodal and Multimodal Interfaces: Dataset on performance, physiological response and user perception during a disassembly task 

      Apraiz, Ainhoa; Lasa, Ganix; Mazmela Etxabe, Maitane; Arana-Arexolaleiba, Nestor; Elguea, Íñigo; Escallada Lopez, Oscar; Osa Arzuaga, Nagore; Etxabe, Amaia (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2025)
    • Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks 

      Elguea, Íñigo; Aguirre, Aitor; Izagirre, Unai; Inziarte Hidalgo, Ibai; Bogh, Simon; Arana-Arexolaleiba, Nestor (Elsevier, 2025)
      Learning to perform procedural motion or manipulation tasks in unstructured or uncertain environments poses significant challenges for intelligent agents. Although reinforcement learning algorithms have demonstrated positive ...
    • Reinforcement Learning Approaches for Collaborative Robot Control in Manipulation Tasks 

      Elguea, Íñigo (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2024)
      With the exponential growth in technological advancement and the increasing reliance on electrical and electronic equipment, the efficient treatment of end-of-life products has become essential for mitigating environmental ...
    • A review on reinforcement learning for contact-rich robotic manipulation tasks 

      Elguea, Íñigo; Arana-Arexolaleiba, Nestor; Serrano Muñoz, Antonio (Elsevier, 2023)
      Research and application of reinforcement learning in robotics for contact-rich manipulation tasks have exploded in recent years. Its ability to cope with unstructured environments and accomplish hard-to-engineer behaviors ...
    • A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots 

      Serrano Muñoz, Antonio; Elguea, Íñigo; Arana-Arexolaleiba, Nestor (IEEE, 2023)
      The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ...

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