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2017 Volume 32
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RESEARCH ARTICLE   Open Access    

Inter-humanoid robot interaction with emphasis on detection: a comparison study

  • 1.

    Bio-Inspired System Design Lab

  • 2.

    Autonomous Agents Laboratory

  • These authors contributed equally to this work.

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  • Abstract: Robot Interaction has always been a challenge in collaborative robotics. In tasks comprising Inter-Robot Interaction, robot detection is very often needed. We explore humanoid robots detection because, humanoid robots can be useful in many scenarios, and everything from helping elderly people live in their own homes to responding to disasters. Cameras are chosen because they are reach and cheap sensors, and there are lots of mature two-dimensional (2D) and 3D computer vision libraries which facilitate Image analysis. To tackle humanoid robot detection effectively, we collected a data set of various humanoid robots with different sizes in different environments. Afterward, we tested the well-known cascade classifier in combination with several image descriptors like Histograms of Oriented Gradients (HOG), Local Binary Patterns (LBP), etc. on this data set. Among the feature sets, Haar-like has the highest accuracy, LBP the highest recall, and HOG the highest precision. Considering Inter-Robot Interaction, it is evident that false positives are less troublesome than false negatives, thus LBP is more useful than the others.
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  • Cite this article

    Taher Abbas Shangari, Vida Shams, Bita Azari, Faraz Shamshirdar, Jacky Baltes, Soroush Sadeghnejad. 2017. Inter-humanoid robot interaction with emphasis on detection: a comparison study. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888916000321
    Taher Abbas Shangari, Vida Shams, Bita Azari, Faraz Shamshirdar, Jacky Baltes, Soroush Sadeghnejad. 2017. Inter-humanoid robot interaction with emphasis on detection: a comparison study. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888916000321
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RESEARCH ARTICLE   Open Access    

Inter-humanoid robot interaction with emphasis on detection: a comparison study

  • 1.

    Bio-Inspired System Design Lab

  • 2.

    Autonomous Agents Laboratory

  • Published online: 02 February 2017
The Knowledge Engineering Review  32,  2017, 32(1)  |  Cite this article

Abstract: Abstract: Robot Interaction has always been a challenge in collaborative robotics. In tasks comprising Inter-Robot Interaction, robot detection is very often needed. We explore humanoid robots detection because, humanoid robots can be useful in many scenarios, and everything from helping elderly people live in their own homes to responding to disasters. Cameras are chosen because they are reach and cheap sensors, and there are lots of mature two-dimensional (2D) and 3D computer vision libraries which facilitate Image analysis. To tackle humanoid robot detection effectively, we collected a data set of various humanoid robots with different sizes in different environments. Afterward, we tested the well-known cascade classifier in combination with several image descriptors like Histograms of Oriented Gradients (HOG), Local Binary Patterns (LBP), etc. on this data set. Among the feature sets, Haar-like has the highest accuracy, LBP the highest recall, and HOG the highest precision. Considering Inter-Robot Interaction, it is evident that false positives are less troublesome than false negatives, thus LBP is more useful than the others.

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    Acknowledgments

    • The authors would like to thank the Bio-Inspired System Design Laboratory (BInSDeLa) of Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran and also Autonomous Agents Laboratory, University of Manitoba, Winnipeg, Canada. This research has been done in collaboration of both universities under the corporation protocol, started from 2014.

    • These authors contributed equally to this work.

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    Taher Abbas Shangari, Vida Shams, Bita Azari, Faraz Shamshirdar, Jacky Baltes, Soroush Sadeghnejad. 2017. Inter-humanoid robot interaction with emphasis on detection: a comparison study. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888916000321
    Taher Abbas Shangari, Vida Shams, Bita Azari, Faraz Shamshirdar, Jacky Baltes, Soroush Sadeghnejad. 2017. Inter-humanoid robot interaction with emphasis on detection: a comparison study. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888916000321
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