An intelligent object manipulation framework for industrial tasks

Artur Saudabayev, Yerbolat Khassanov, Almas Shintemirov, Huseyin Atakan Varol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an intelligent object manipulation framework for industrial tasks, which integrates a sensor-rich multi-fingered robot hand, an industrial robot manipulator, a conveyor belt and employs machine learning algorithms. The framework software architecture is implemented using a Windows 7 operating system with RTX real-time extension for synchronous handling of peripheral devices. The framework uses Scale Invariant Feature Transform (SIFT) image processing algorithm, Support Vector Machine (SVM) machine learning algorithm and 3D point cloud techniques for intelligent object recognition based on RGB camera and laser rangefinder information from the robot hand end effector. The objective is automated manipulation of objects with different shapes and poses with minimum programming effort applied by a user.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
Pages1708-1713
Number of pages6
DOIs
Publication statusPublished - Nov 25 2013
Event2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu, Japan
Duration: Aug 4 2013Aug 7 2013

Publication series

Name2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013

Other

Other2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
CountryJapan
CityTakamastu
Period8/4/138/7/13

    Fingerprint

Keywords

  • LIDAR
  • Object Recognition
  • Real-Time Operating System
  • Robot Manipulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Saudabayev, A., Khassanov, Y., Shintemirov, A., & Varol, H. A. (2013). An intelligent object manipulation framework for industrial tasks. In 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 (pp. 1708-1713). [6618173] (2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013). https://doi.org/10.1109/ICMA.2013.6618173