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Updated: Jul 19, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

基于人工智能技术的接接跟踪和检测机器人

Jiuxin Wang¹, Lei Huang², Jiahui Yao¹

¹School of Science, Xi'an Polytechnic University, Xi'an 710048, China.

Sensors (Basel, Switzerland)

|August 12, 2023

概括

此摘要是机器生成的。

开发了一种具有集成接接跟踪和检测的新型爬墙机器人. 这种机器人利用优化的DeepLabv3+模型进行精确的实时接检查,提高工业安全和效率.

关键词:

深度实验室v3+检查机器人检查机器人爬墙机器人爬墙机器人接接标识接接标识

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Last Updated: Jul 19, 2025

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科学领域:

机器人和自动化机器人和自动化
人工智能的人工智能
材料科学与工程材料科学与工程

背景情况:

接接检测对于大型特殊设备制造的安全性和效率至关重要.
现有的方法往往缺乏复杂工业环境所需的精度和实时能力.
机器人解决方案为自动化和智能化检查提供了一个有希望的途径.

研究的目的:

设计和开发一个爬墙机器人,能够自主跟踪和检测接.
优化语义细分模型,以便在嵌入式系统上高效地部署,用于实时分析.
为了提高工业应用接接识别的准确性和速度.

主要方法:

一个爬墙机器人是使用永久磁铁阵列和Mecanum轮子设计的.
DeepLabv3+的语义细分模型通过Mobilenetv2和注意力机制进行了优化.
深度可分离的扩展卷曲取代了传统卷曲,以提高效率.
根据细分结果,采用最小正方形方法来适配接路径.

主要成果:

优化的模型体积减少了92.9%,至21.8 Mb.
平均精度达到98.5%,比原始模型提高1.4%.
推理速度达到21/秒,满足实时工业检测要求.
机器人成功展示了自主接接的识别和跟踪.

结论:

开发的爬墙机器人有效地整合了跟踪和检测功能.
模型优化显著提高了在工业环境中嵌入式部署的性能.
这项技术推进了自动和智能接接检测,有助于提高工业安全和效率.