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Wiley – Modular Design Automation of Intelligent Robot Systems 2026

Updated August 10, 2026 24 MB
Wiley – Modular Design Automation of Intelligent Robot Systems 2026

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The book Modular Design Automation of Intelligent Robot Systems introduces a new approach called MODENA, which is based on modular design automation. In this work, the authors have tried to simplify and optimize the complex process of designing intelligent robots by using computational intelligence, genetic programming techniques, and multi-objective evolutionary algorithms. This approach helps designers achieve innovative designs in physical structure and control systems without the need for traditional trial-and-error processes.

The book goes beyond theoretical discussions and presents practical case studies illustrating the application of this technology to real robotic systems such as training arms, mechanical printers, and swarm robots. It also provides solutions for improving robotic vision and control systems as an interpretable alternative to large language models in the technical skills domain, which is invaluable for researchers and advanced skills students.

Book Features

  • A complete introduction to the MODENA methodology for automated and optimal robot design.
  • Using evolutionary algorithms and computational intelligence in the modeling process.
  • A comprehensive review of various aspects of robotics, including physical structure, control systems, and machine vision.
  • Providing practical examples and real projects such as collaborative robots and automotive suspension systems.
  • Analysis of the differences and advantages of design automation versus generative AI-based methods (LLMs).

Book specifications

  • Publisher: Wiley
  • Instructor/Author: Zhun Fan
  • Number of pages: 423
  • Number of chapters: 6
  • Format: PDF

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Modular Design Automation of Intelligent Robot Systems

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Modular Design Automation of Intelligent Robot Systems

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What is included

  • A complete introduction to the MODENA methodology for automated and optimal robot design.
  • Using evolutionary algorithms and computational intelligence in the modeling process.
  • A comprehensive review of various aspects of robotics, including physical structure, control systems, and machine vision.
  • Providing practical examples and real projects such as collaborative robots and automotive suspension systems.
  • Analysis of the differences and advantages of design automation versus generative AI-based methods (LLMs).