[HTML][HTML] Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments
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 …
(HRC) can provide relevant opportunities in terms of productivity, safety and quality control …
Machine Learning for public transportation demand prediction: A Systematic Literature Review
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 …
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 …
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 …
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
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 …
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 …
robot positions and develops an optimization strategy for measuring and minimizing inter …
Personalized robotic control via constrained multi-objective reinforcement learning
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 …
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 …
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 …
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 …
one of the most challenging tasks. Due to the complex structure and frequent traffic …