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DOI: 10.14569/IJACSA.2020.01104101
PDF

Development of a Practical Tool in Pick-and-Place Tasks for Human Workers

Author 1: Yunan He
Author 2: Osamu Fukuda
Author 3: Daisuke Sakaguchi
Author 4: Nobuhiko Yamaguchi
Author 5: Hiroshi Okumura
Author 6: Kohei Arai

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 4, 2020.

  • Abstract and Keywords
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Abstract: We introduce smart hand, a practical tool for human workers in pick-and-place tasks. It is developed to avoid picking up the wrong thing from one location or place the things in an unexpected location. Smart hand features sensors (e.g., imaging sensors, motion sensors) to sense the world and offers suggestions or aid based on the sensed results when a human worker is performing a pick-and-place task. A smart hand prototype is made in the study. In our design, the smart hand has an RGB-D sensor and an inertial measurement unit (IMU). RGB-D sensor is used to do object detection and distance/position estimation while IMU is used to track the motion of the smart hand. An experiment is conducted to compare the two working conditions that a subject performs the pick-and-place tasks with or without the smart hand. The experiment results proved that the smart hand can avoid human errors in pick-and-place tasks.

Keywords: Pick-and-place task; human-robot collaboration; cognitive system; hand tools

Yunan He, Osamu Fukuda, Daisuke Sakaguchi, Nobuhiko Yamaguchi, Hiroshi Okumura and Kohei Arai, “Development of a Practical Tool in Pick-and-Place Tasks for Human Workers” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.doi.org/10.14569/IJACSA.2020.01104101

@article{He2020,
title = {Development of a Practical Tool in Pick-and-Place Tasks for Human Workers},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.01104101},
url = {http://dx.doi.org/10.14569/IJACSA.2020.01104101},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Yunan He and Osamu Fukuda and Daisuke Sakaguchi and Nobuhiko Yamaguchi and Hiroshi Okumura and Kohei Arai}
}



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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