Author:
Nguyen Thanh,Nguyen Thanh,Ngo Ha
Abstract
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.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Cited by
1 articles.
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