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FALCON: Fourier Adaptive Learning and Control for Disturbance Rejection Under Extreme Turbulence | npj Robotics
Nature
We present FALCON (Fourier Adaptive Learning and Control), a model-based reinforcement learning framework for effective modeling and control of aerodynamic...
1 month ago
A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
Frontiers
1Chair of Robotics, Artificial Intelligence and Real-time Systems, Department of Informatics, Technical University of Munich, Munich, Germany...
4 months ago
(PDF) Overview of predictive maintenance based on digital twin technology
ResearchGate
PDF | The upgrade and development of manufacturing industry makes predictive maintenance more and more important, but the traditional...
3 weeks ago
Design and implementation of a universal converter for microgrid applications using approximate dynamic programming and artificial neural networks
Nature
This paper introduces a novel design for a universal DC-DC and DC-AC converter tailored for DC/AC microgrid applications using Approximate Dynamic Programming...
2 months ago
Fig. 4. Visualization of features specifi ed by successive...
ResearchGate
The article presents research on industrial quality control system based on AI deep learning method. They are a part of larger project focusing on...
4 months ago
Arduino’s Guneet Bedi explains how AI, edge computing and the IIoT will impact the future of machine control
Control Design
In this interview, Guneet Bedi, senior vice president and general manager of the Americas at Arduino, answers questions about the future of machine controls.
14 months ago
Developing a virtual reality and AI-based framework for advanced digital manufacturing and nearshoring opportunities in Mexico
Nature
The growing expansion of the manufacturing sector, particularly in Mexico, has revealed a spectrum of nearshoring opportunities yet is...
6 months ago
Multilayer Game Collaborative Optimization Based on Elman Neural Network System Diagnosis in Shared Manufacturing Mode
Wiley Online Library
With the dynamic sharing of global resources shifted from the independent production of a single enterprise to and the development of...
25 months ago
Digitalization of phosphorous removal process in biological wastewater treatment systems: Challenges, and way forward
ScienceDirect.com
Phosphorus in wastewater poses a significant environmental threat, leading to water pollution and eutrophication.
4 months ago
AI: The next frontier of performance in industrial processing plants
McKinsey & Company
AI is more accessible than ever. With their wealth of historical data and existing subject matter expertise, processing plants are well...
13 months ago