Listar por autor "Inziarte Hidalgo, Ibai"
Mostrando ítems 1-4 de 4
-
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 ... -
Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks
Elguea Aguinaco, Iñigo; 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 ... -
Performance of the counterbalance systems in heavy industrial robots under cyclic operation
Urrutia, Julen; Izquierdo Ortiz de Landaluce, Mikel; Ulacia, Ibai; Agirre, Nora; Inziarte Hidalgo, Ibai; Larrañaga Amilibia, Jon (IEEE, 2024)Industrial robot accuracy is limited in applications such as machining processes, mainly due to the relatively low stiffness of the joints. Deviations are caused by the weight of the links, external forces, inertias and ... -
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 ...
