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DOI: 10.14569/IJACSA.2017.080451
PDF

Proactive Intention-based Safety through Human Location Anticipation in HRI Workspace

Author 1: Muhammad Usman Ashraf
Author 2: Muhammad Awais
Author 3: Muhammad Sheraz Arshad Malik
Author 4: Ijaz Shoukat
Author 5: Muhammad Sher

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The safety involved in Human-Robot Interaction (HRI) is an important issue. This is the key point for the increase or decrease in HRI activity. A novel solution concerning the safety of HRI is proposed. The solution considers the near future human intentions. A set of possible human intentions is known to the robot. The robot also knows the places that can be visited by the interacting human according to his current intention. The proposed solution enables the robot to avoid a potential collision by anticipating the future human location and dividing the workspace into safe and unsafe zones. The solution contributes for the improvement of HRI safety measures but further efforts are required for achieving an enhanced safety level.

Keywords: Intention Recognition; Human-Robot Interaction; Human-Robot Interaction Safety; Unsafe Zone; Workspace

Muhammad Usman Ashraf, Muhammad Awais, Muhammad Sheraz Arshad Malik, Ijaz Shoukat and Muhammad Sher, “Proactive Intention-based Safety through Human Location Anticipation in HRI Workspace” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080451

@article{Ashraf2017,
title = {Proactive Intention-based Safety through Human Location Anticipation in HRI Workspace},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080451},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080451},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Muhammad Usman Ashraf and Muhammad Awais and Muhammad Sheraz Arshad Malik and Ijaz Shoukat and Muhammad Sher}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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