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

      Apraiz Iriarte, 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 ...
    • Reinforcement learning for collaborative robotic contact-rich disassembly tasks 

      Serrano Muñoz, Antonio (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
      With the exponential growth of the world’s population and the resulting increase in consumption rates, the efficient treatment of end-of-life (EOL) products has become critical to mitigating environmental impacts. ...
    • 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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