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Bioinspired Intelligent Algorithm and Its Applications for Mobile Robot Control: A Survey.

Jianjun Ni1, Liuying Wu2, Xinnan Fan1

  • 1College of IOT Engineering, Hohai University, Changzhou 213022, China; Changzhou Key Laboratory of Special Robot and Intelligent Technology, Hohai University, Changzhou 213022, China.

Computational Intelligence and Neuroscience
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Summary
This summary is machine-generated.

Bioinspired intelligent algorithms (BIAs) offer lifelike mechanisms for complex tasks. This survey explores BIAs for mobile robot control, addressing current limitations and future research directions.

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Area of Science:

  • Artificial Intelligence
  • Robotics
  • Computational Neuroscience

Background:

  • Bioinspired intelligent algorithms (BIAs) leverage lifelike biological mechanisms, advancing computational intelligence.
  • Traditional AI algorithms face challenges in mobile robot control, including complex computations and sensor dependency.
  • BIAs show significant progress in understanding biological systems and diverse applications.

Purpose of the Study:

  • To provide a comprehensive survey of recent research in BIAs.
  • To focus on the realization of BIAs based on different working mechanisms.
  • To detail the applications of BIAs in mobile robot control.

Main Methods:

  • Classification of BIAs based on biomimetic mechanisms.
  • Summary of typical BIAs across different levels of complexity.
  • Overview of current applications in mobile robot control.
  • Identification of future research directions.

Main Results:

  • BIAs offer a promising alternative to traditional AI for mobile robot control.
  • Diverse BIA mechanisms are being developed and applied.
  • Current research highlights the potential of BIAs to overcome existing bottlenecks.

Conclusions:

  • BIAs represent a rapidly advancing field with substantial implications for mobile robotics.
  • Further research into BIA mechanisms and applications is warranted.
  • This survey provides a clear understanding of BIAs and their role in intelligent systems.