Artificial Intelligence for Mechatronics Training Course

  1. Robotics Training
  2. Smart Robots Training
  3. Artificial Intelligence for Mechatronics Training Course

Course Code

mechatronics

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Basic understanding of computer science and engineering.

Audience

  • Engineers

Overview

Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science.

This instructor-led, live training (onsite or remote) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems.

By the end of this training, participants will be able to:

  • Gain an overview of artificial intelligence, machine learning, and computational intelligence.
  • Understand the concepts of neural networks and different learning methods.
  • Choose artificial intelligence approaches effectively for real-life problems.
  • Implement AI applications in mechatronic engineering.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

Overview of Artificial Intelligence (AI)

  • Machine learning
  • Computational intelligence

Understanding the Concepts of Neural Networks

  • Generative networks
  • Deep neural networks
  • Convolution neural networks

Understanding Various Learning Methods

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Semi-supervised learning

Other Computational Intelligence Algorithms

  • Fuzzy systems
  • Evolutionary algorithms

Exploring Artificial Intelligence Approaches to Optimization

  • Choosing AI Approaches Effectively

Learning about Stochastic Dynamic Programming

  • Relationship with AI

Implementing Mechatronic Applications with AI

  • Medicine
  • Rescue
  • Defense
  • Industry-agnostic trend

Case Study: The Intelligent Robotic Car

Programming the Major Systems of a Robot

  • Planning the Project

Implementing AI Capabilities

  • Searching and Motion Control
  • Localization and Mapping
  • Tracking and Controlling

Summary and Conclusion

Related Categories

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Artificial Intelligence in AutomotiveArtificial Intelligence OverviewFrom Zero to AIArtificial Neural Networks, Machine Learning, Deep ThinkingApplied Machine LearningArtificial Neural Networks, Machine Learning and Deep ThinkingPattern RecognitionIntroduction Deep Learning & Neural Networks for EngineersMicrosoft Cognitive Toolkit 2.xIntroduction to the use of neural networksNeural Networks Fundamentals using TensorFlow as ExamplePaddlePaddleNeural Network in RSnorkel: Rapidly Process Training DataTPU Programming: Building Neural Network Applications on Tensor Processing Units

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