An innovative study on an intelligent logistics handling robots

With the advancement of Industry 4.0 and the logistics industry, traditional manual handling is gradually phasing out, giving rise to the emergence of intelligent logistics handling robots. The robot in this study integrates laser radar, cameras, and a robotic arm, utilizing STM32 as the main control unit and leveraging IoT technology. It demonstrates precise navigation and obstacle avoidance, efficient object recognition and handling, and supports remote control and monitoring. Additionally, it exhibits excellent adaptability across various environments. From an economic perspective, this robot effectively reduces labor costs while enhancing operational efficiency.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1117/12.3062358
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

An innovative study on an intelligent logistics handling robots

Yueqi Zhong, Rui Yao
Advanced Manufacturing and Logistics Optimization
article

An innovative study on an intelligent logistics handling robots

Yueqi Zhong, Rui Yao
article en

Abstract

With the advancement of Industry 4.0 and the logistics industry, traditional manual handling is gradually phasing out, giving rise to the emergence of intelligent logistics handling robots. The robot in this study integrates laser radar, cameras, and a robotic arm, utilizing STM32 as the main control unit and leveraging IoT technology. It demonstrates precise navigation and obstacle avoidance, efficient object recognition and handling, and supports remote control and monitoring. Additionally, it exhibits excellent adaptability across various environments. From an economic perspective, this robot effectively reduces labor costs while enhancing operational efficiency.

Shenzhen Polytechnic University (CN), South China Normal University (CN)
Openalex Percentile: Top 89%
Advanced Manufacturing and Logistics Optimization
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An innovative study on an intelligent logistics handling robots — Yueqi Zhong, Rui Yao · (2025) | TGRS Research Map | TGRS