[HTML][HTML] Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments

A Baratta, A Cimino, F Longo, L Nicoletti - Computers & Industrial …, 2024 - Elsevier
The integration of robots in manufacturing systems known as Human Robot Collaboration
(HRC) can provide relevant opportunities in terms of productivity, safety and quality control …

Machine Learning for public transportation demand prediction: A Systematic Literature Review

FR di Torrepadula, EV Napolitano, S Di Martino… - … Applications of Artificial …, 2024 - Elsevier
Abstract Within the Intelligent Public Transportation Systems (IPTS) field, the prediction of
public transportation demand is a key point for enhancing the quality of the services. These …

An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis

L Ni, J Chen, G Chen, D Zhao, G Wang… - … Applications of Artificial …, 2024 - Elsevier
The inherent nonlinear and memory-dependent input-output characteristics of piezoelectric
actuators pose challenges to the precision of piezoelectric positioning systems. In order to …

Prescribed time fuzzy adaptive consensus control for multiagent systems with dead-zone input and sensor faults

J Wang, J Liu, Y Li, CLP Chen, Z Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A prescribed time fuzzy adaptive consensus control method is constructed for multiagent
systems with sensor faults and dead-zone input. Sensor faults inevitably occur in actual …

Delayed-feedback oscillators replicate the dynamics of multiplex networks: wavefront propagation and stochastic resonance

A Zakharova, VV Semenov - Neural Networks, 2025 - Elsevier
The widespread development and use of neural networks have significantly enriched a wide
range of computer algorithms and promise higher speed at lower cost. However, the …

Inter-robot management via neighboring robot sensing and measurement using a zeroing neural dynamics approach

B Liao, C Hua, Q Xu, X Cao, S Li - Expert Systems with Applications, 2024 - Elsevier
This paper proposes a complex number representation method for dynamically recording
robot positions and develops an optimization strategy for measuring and minimizing inter …

Personalized robotic control via constrained multi-objective reinforcement learning

X He, Z Hu, H Yang, C Lv - Neurocomputing, 2024 - Elsevier
Reinforcement learning is capable of providing state-of-art performance in end-to-end
robotic control tasks. Nevertheless, many real-world control tasks necessitate the balancing …

A reduced-order adaptive state observer for DC–DC converters with unknown constant power load

W He, X Wang, MM Namazi, W Zhou… - Control Engineering …, 2024 - Elsevier
In this paper, main objective is to develop a reduced-order adaptive state observer (RASO)
for a large class of DC–DC converters with constant power load (CPL) to estimate their …

A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis

H Yang, X Zhao, S Luan, S Chai - Expert Systems with Applications, 2024 - Elsevier
Presently, traffic safety analysis is mainly based on accident-based indicators, but they are
incidental and small probability events, making safety analysis based on accident-related …

A decision-making approach for complex unsignalized intersection by deep reinforcement learning

S Li, K Peng, F Hui, Z Li, C Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Decision-making for automatic vehicles at unsignalized intersections with dense traffic is
one of the most challenging tasks. Due to the complex structure and frequent traffic …