Investigation on the mechanical design of robot gripper for intelligent control using the low-cost sensor

With the advent of Industry 4.0, there is a growing need for intelligent and automated robotic systems capable of performing complex tasks in the unknowen environments. This work focuses on the development of mechanical design for a robotic gripper and the implementation of intelligent manipulation...

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Bibliographic Details
Main Authors: Nguyen Thanh Truong, Nguyen Thanh Hai, Ngo Ha Quang Thinh
Format: Article
Language:English
Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2024-01-01
Series:FME Transactions
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2024/1451-20922401012N.pdf
Description
Summary:With the advent of Industry 4.0, there is a growing need for intelligent and automated robotic systems capable of performing complex tasks in the unknowen environments. This work focuses on the development of mechanical design for a robotic gripper and the implementation of intelligent manipulation for picking a target using a FANUC robot platform. The proposed method combines computational mechanics for the gripper, advanced motion control techniques, and a grasping control strategy to enable the robot arm to accurately and efficiently identify and pick a target object. To validate our approach, several experimental validations are conducted in various scenarios. It is well-acknowledged that the proposed work is feasible, effective, and applicable for a wide range of industrial applications.
ISSN:1451-2092
2406-128X