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

• 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/25004/7/Real-Time%20Robotic%20Grasping%20and%20Localization1.pdf; http://umpir.ump.edu.my/id/eprint/25004/; https://doi.org/10.1109/I2CACIS.2019.8825093
• Institution: Universiti Malaysia Pahang

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...