Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System

Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System

This study presents an optimized design and vision-guided control strategy for a multi-functional robotic gripper integrated into an automatic loading system for warehouse environments. The system adopts a modular architecture, including standardized platforms, transport containers, four collaborati...

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Bibliographic Details
Main Authors: Yaohui Wang, Sheng Guo, Jinliang Zhang, Hongbo Ding, Bo Zhang, Ao Cao, Xiaohu Sun, Guangxin Zhang, Shihe Tian, Yongxu Chen, Jixuan Ma, Guangrong Chen
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Actuators
Subjects:
optimized design
deep vision-based control
multi-functional robotic gripper
automatic loading system
standardized transport
Online Access:https://www.mdpi.com/2076-0825/14/6/259
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