Browsing by Author "Inziarte Hidalgo, Ibai"

Now showing items 1-4 of 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 ...

Browsing by Author "Inziarte Hidalgo, Ibai"

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

Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks ﻿

Performance of the counterbalance systems in heavy industrial robots under cyclic operation ﻿

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

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

Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks

Performance of the counterbalance systems in heavy industrial robots under cyclic operation

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