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Application Tag: Robotics

Step-by-Step Guide: Using MATLAB for Deep Learning in Sound Analysis for Fault Detection

This step-by-step guide explores how to leverage MATLAB and deep learning to detect audible faults in machinery.
Fault Detection Using Deep Learning in MATLAB

Optimize the fault detection process with deep learning in MATLAB. Explore CNNs, RNNs, and advanced tips for precision and reliability.
Structural Optimization with COMSOL Multiphysics

Explore COMSOL’s Optimization Module for enhanced engineering designs. This video provides a quick overview of COMSOL Multiphysics, spotlighting mechanical modeling and optimization tools. The presentation includes a live demonstration of a straightforward stress/strain optimization of a mechanical component subject to static loading and more.
COMSOL Multiphysics Capabilities for Aerospace and Defense

The Finite Element Method entails numerous advantages when utilized in the Aerospace and Defense industries. Read on to learn about COMSOL Multiphysics’ comprehensive capabilities for applying FEM.
Battery Pack Design in COMSOL Multiphysics

Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module.
AI: Driving the Industry Towards Greater Success

Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
Key MATLAB and Simulink Capabilities for Aerospace and Defense

Explore MATLAB and Simulink capabilities that can help aerospace and defense organizations with control systems, system design, and physical modeling.
MATLAB and Simulink for Automotive

Discover how MATLAB and Simulink drive automotive innovation. Learn how these tools expedite vehicle development and help OEMs meet evolving market demands.
Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.
Machine Learning with MATLAB

Explore how MATLAB transforms the world of machine learning. Discover 5 areas where MATLAB can help solve diverse learning problems. From interactive apps to Simulink integration, we’ve got you covered.