Real-time robotic grasping and localization using deep learning-based object detection technique

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Real-time robotic grasping and localization using deep learning-based object detection technique

This work aims to increase the impact of computer vision on robotic positioning and grasping in industrial assembly lines. Real-time object detection and localization problem is addressed for robotic grasp-and-place operation using Selective Compliant Assembly Robot Arm (SCARA). The movement of SCAR...

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Bibliographic Details
Main Authors:	Farag, Mohannad, Abdul Nasir, Abd Ghafar, Alsibai, Mohammed Hayyan
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25004/ http://umpir.ump.edu.my/id/eprint/25004/7/Real-Time%20Robotic%20Grasping%20and%20Localization1.pdf

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