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Microstimulation-based path tracking control of pigeon robots through parameter adaptive strategy.

Yinggang Huang1,2, Lifang Yang1,2, Long Yang1,2

  • 1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.

Heliyon
|October 10, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a parameter-adaptive strategy for precise path tracking in animal robots using neural electrical stimulation. The developed system achieved 82.165% control efficiency in guiding pigeon robots.

Keywords:
Behavioral pre-controlParameter adaptive strategyPath tracking controlPigeon robotStimulus model

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Area of Science:

  • Neuro-control
  • Robotics
  • Bio-inspired engineering

Background:

  • Precise behavior control in animal robots using neural electrical stimulation is challenging.
  • Existing methods lack dynamic adaptation to environmental factors.

Purpose of the Study:

  • To develop a parameter-adaptive strategy for accurate path tracking in pigeon robots.
  • To quantify the relationship between neural stimulation parameters and behavioral responses.
  • To enhance neuro-control capabilities for autonomous systems.

Main Methods:

  • Quantified neural electrical stimulation parameter-behavioral response mapping.
  • Established adjustment rules for a parameter-adaptive control strategy.
  • Designed a parameter-adaptive path tracking control strategy (PAPTCS) using fuzzy control principles.

Main Results:

  • Altering stimulation parameters significantly affected pigeon robot turning angles.
  • Higher UPN and PTN levels induced notable changes in motion state.
  • The PAPTCS achieved an average control efficiency of 82.165% in experiments.

Conclusions:

  • The parameter-adaptive strategy enables precise path tracking for pigeon robots.
  • This research offers a reference for controlling animal robot behavior.
  • The findings contribute to advancements in accurate target path tracking technology.