@inproceedings{a80041b9e9c8406fb7c6cc3d390e6ab0,
title = "Computer vision based object grasping 6DoF robotic arm using picamera",
abstract = "This article presents a project to design a robust robotic arm which can perform multifunctional tasks. The controller of the manipulator is based on Arduino mega 2560 Microcontroller. The aim of the project is to focus all axes of manipulator to lift, carry and unload the objects at a desired location. This requires a precise drive motion control that incorporate electric motors as a drive system. Further experiments are done to implement a camera based 3D vision system integrated with a computer vision algorithm to recognize object deformation and spatial coordination to control the deviation from the original training. The 3D visualization systems are able to detect the objects as well as their distance from the End-effecter and transmit the signals to the drive system. The vision system requires a separate computing hardware capable of processing complex vision algorithms. We utilize Raspberry pi microcontroller for processing the vision data, separately making the vision system capable of recognizing the specified object as per program commands.",
keywords = "color detection, computer vision system, object recognition, robotic arm",
author = "Vishal Kumar and Qiang Wang and Wang Minghua and Syed Rizwan and Shaikh, \{S. M.\} and Xuan Liu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th International Conference on Control, Automation and Robotics, ICCAR 2018 ; Conference date: 20-04-2018 Through 23-04-2018",
year = "2018",
month = jun,
day = "13",
doi = "10.1109/ICCAR.2018.8384653",
language = "英语",
series = "Proceedings - 2018 4th International Conference on Control, Automation and Robotics, ICCAR 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "111--115",
booktitle = "Proceedings - 2018 4th International Conference on Control, Automation and Robotics, ICCAR 2018",
address = "美国",
}