Semiautonomous industrial mobile manipulation for industrial applications

Heping Chen, Hongtai Cheng, Biao Zhang, Jianjun Wang, Tom Fuhlbrigge, Jian Liu

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

2 Scopus citations

Abstract

The mobile industrial manipulator(MIM) which combines the advantages of both the mobile robot and industrial robot and owns powerful mobility, flexibility and functionality will be the next generation of robots. However fully autonomous MIM performing various tasks in unstructured or semi-structured environment is very challenging in autonomous localization & navigation, object identification, control and coordination. However, there is a demand in industry for MIMs to be deployed in hazardous, dangerous and/or remotely environments. Therefore, a semi-autonomous MIM is investigated to perform industrial operations. An MIM prototype using a mobile platform and an industrial robot is developed. Manual and autonomous methods are proposed and implemented to control the prototype manually and autonomously. Experiments using the prototype were performed. Experimental results demonstrate that the robot can run autonomously if there is no ambiguity and the operators can interrupt the autonomous mode at any time if needed. The developed prototype and proposed methods have big potential in industrial applications.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013
Pages361-366
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013 - Nanjing, China
Duration: May 26 2013May 29 2013

Other

Other3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013
CountryChina
CityNanjing
Period5/26/135/29/13

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Keywords

  • Autonomous Navigation
  • Industrial Robots
  • Progressive Bayesian Learning
  • Semi-autonomous Mobile Industrial Manipulator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Chen, H., Cheng, H., Zhang, B., Wang, J., Fuhlbrigge, T., & Liu, J. (2013). Semiautonomous industrial mobile manipulation for industrial applications. In 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013 (pp. 361-366). [6705472] https://doi.org/10.1109/CYBER.2013.6705472