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Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview
(Elsevier, 2024)
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitating adept navigation of complex scenarios. ...
HRM systems and employee affective commitment: the role of employee gender
(Emerald, 2020)
Purpose
Despite decades of studies on high-involvement human resource management (HRM) systems, questions remain of whether high-involvement HRM systems can increase the commitment of women. This study aims to contribute ...
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)
One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ...
A general approach to Software Product Line testing
(Sistedes: Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software, 2019)
Variability is a central concept in Software Product Lines (SPLs). It has been extensively studied how the SPL paradigm can improve both the efficiency of a company and the quality of products. Nevertheless, this brings ...
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)
The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ...
Magnet eddy current loss calculation method for segmentation analysis on permanent magnet machines
(IEEE, 2011)
Eddy current losses generated in the rotor of permanent magnet machines may lead to an excessive magnet heating. This can cause the magnets to get fully demagnetized so it is very important to analyze the losses on them. ...
Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method
(2022)
The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...
Ikertzen 15
(Mondragon Unibertsitatea, 2024)
Sparse sampling-based view planning for complex geometries
(IEEE, 2024)
In this paper, an automatic sampling-based view planning algorithm is proposed, for accurate 3D reconstruction of complex geometry parts present in manufacturing. The initial viewpoint sampling method is able to lower the ...