# Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology

## Abstract

**:**

## 1. Introduction

## 2. Sustainable Artificial Intelligence (SAI) Controller Design

#### 2.1. ART Controller Design

#### 2.2. Supervised Gaussian Adaptive Fuzzy Neural Network (SGAFNN) Controller Design

#### 2.3. Sliding Mode Controller Design

## 3. Simulation Result

## 4. Practical Evaluations

## 5. Conclusions

## Funding

## Institutional Review Board Statement

## Informed Consent Statement

## Data Availability Statement

## Conflicts of Interest

## Abbreviations

Abbreviation | Full text meaning |

ART | Adaptive Resonance Theory |

CNN | Convolution neural network |

PSO | Particle swarm optimization |

SGAFNN | Supervised Gaussian adaptive fuzzy neural network |

AFNN | Adaptive Fuzzy neural network |

FNN | Fuzzy neural network |

SC | Sliding mode controller |

SAI | Sustainable artificial intelligence |

SFNN | Sliding mode fuzzy neural network |

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**Figure 5.**(

**a**). Initial membership functions of SGAFNN for velocity. (

**b**). Adaptive membership functions of SGAFNN for velocity.

**Figure 6.**(

**a**). System states trajectories of SGAFNN. (

**b**). Control inputs of SGFNN. (

**c**). Moving path diagram of robot.

**Figure 10.**The result diagram of image edge processing of practical implementation for robot moving.

Step 1 | Set the initial network weightings. |

Step 2 | Enter the vector values of the training data. |

Step 3 | Calculate the match values for all categories of existing classifications. |

Step 4 | Find the one with the largest matching value and calculate its similarity value with this category. |

Step 5 | If it exceeds the similarity value, it belongs to this category, otherwise, it is a new generated category. |

Step 6 | Return to step 2, repeat the calculation of all input data until they are finished and stop the calculation of the program. |

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**MDPI and ACS Style**

Mon, Y.-J.
Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology. *Sustainability* **2022**, *14*, 5335.
https://doi.org/10.3390/su14095335

**AMA Style**

Mon Y-J.
Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology. *Sustainability*. 2022; 14(9):5335.
https://doi.org/10.3390/su14095335

**Chicago/Turabian Style**

Mon, Yi-Jen.
2022. "Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology" *Sustainability* 14, no. 9: 5335.
https://doi.org/10.3390/su14095335