AI Article Synopsis
- Research on animal robots, particularly using neural electrical stimulation, focuses on improving precise behavior control, which is currently challenging.
- The study introduces a parameter-adaptive path tracking control strategy (PAPTCS) based on fuzzy control principles to enhance the behavior of pigeon robots in open environments.
- Results show that adjusting stimulation parameters significantly influences the pigeons' motion, achieving an average control efficiency of 82.165% in path tracking tasks.
Article Abstract
Research on animal robots utilizing neural electrical stimulation is a significant focus within the field of neuro-control, though precise behavior control remains challenging. This study proposes a parameter-adaptive strategy to achieve accurate path tracking. First, the mapping relationship between neural electrical stimulation parameters and corresponding behavioral responses is comprehensively quantified. Next, adjustment rules related to the parameter-adaptive control strategy are established to dynamically generate different stimulation patterns. A parameter-adaptive path tracking control strategy (PAPTCS), based on fuzzy control principles, is designed for the precise path tracking tasks of pigeon robots in open environments. The results indicate that altering stimulation parameter levels significantly affects turning angles, with higher UPN and PTN inducing changes in the pigeons' motion state. In experimental scenarios, the average control efficiency of this system was 82.165%. This study provides a reference method for the precise control of pigeon robot behavior, contributing to research on accurate target path tracking.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11462516 | PMC |
| http://dx.doi.org/10.1016/j.heliyon.2024.e38113 | DOI Listing |
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