Listar por autor "Serrano Muñoz, Antonio"

Mostrando ítems 1-3 de 3

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 ...
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study

Arana-Arexolaleiba, Nestor (Springer, 2021)

Remanufacturing automation must be designed to be flexible and robust enough to overcome the uncertainties, conditions of the products, and complexities in the planning and operation of the processes. Machine learning ...
skrl: Modular and Flexible Library for Reinforcement Learning

Arana-Arexolaleiba, Nestor (ArXiv, 2022)

skrl is an open-source modular library for reinforcement learning written in Python and designed with a focus on readability, simplicity, and transparency of algorithm implementations. Apart from supporting environments ...