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Hand gesture-based on-line programming of industrial robot manipulators

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Standard

Hand gesture-based on-line programming of industrial robot manipulators. / Sylari, Antonios; Ferrer, Borja Ramis; Lastra, Jose L.Martinez.

2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019. IEEE, 2019. s. 827-834 (IEEE International Conference on Industrial Informatics (INDIN)).

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Harvard

Sylari, A, Ferrer, BR & Lastra, JLM 2019, Hand gesture-based on-line programming of industrial robot manipulators. julkaisussa 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019. IEEE International Conference on Industrial Informatics (INDIN), IEEE, Sivut 827-834, Helsinki, Suomi, 22/07/19. https://doi.org/10.1109/INDIN41052.2019.8972301

APA

Sylari, A., Ferrer, B. R., & Lastra, J. L. M. (2019). Hand gesture-based on-line programming of industrial robot manipulators. teoksessa 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019 (Sivut 827-834). (IEEE International Conference on Industrial Informatics (INDIN)). IEEE. https://doi.org/10.1109/INDIN41052.2019.8972301

Vancouver

Sylari A, Ferrer BR, Lastra JLM. Hand gesture-based on-line programming of industrial robot manipulators. julkaisussa 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019. IEEE. 2019. s. 827-834. (IEEE International Conference on Industrial Informatics (INDIN)). https://doi.org/10.1109/INDIN41052.2019.8972301

Author

Sylari, Antonios ; Ferrer, Borja Ramis ; Lastra, Jose L.Martinez. / Hand gesture-based on-line programming of industrial robot manipulators. 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019. IEEE, 2019. Sivut 827-834 (IEEE International Conference on Industrial Informatics (INDIN)).

Bibtex - Lataa

@inproceedings{ece954fefa724d45b6494d02966ea0f4,
title = "Hand gesture-based on-line programming of industrial robot manipulators",
abstract = "Robots are widely used in industrial manufacturing processes and play an important role in the enhancement of industrial organizations productivity. One of the major issues that engineers are facing is that, current programming methods are too time-consuming and they lack of intuitiveness use by human users. However, the latest advances in the field of sensors, let manufacturers to develop and produce devices that allow humans to interact with machines in a more intuitive way, reducing the need of additional complex software components, and hence, the required time to establish the aforementioned human-machine interactions. This research work presents an approach for gesture-based on-line programming of industrial robot manipulators. This is achieved by utilizing a combination of devices with a set of integrated, cost-effective visual and bending sensors, in order to precisely track the user's hand position and gestures at system run-time. This continuous tracking allows the robot manipulator to mimic the operator's hand motion. In addition, desired paths performed by a human with expertise on task execution, are translated into robot targets, composing a new robot path, and are stored for later use. Such path can be modified to fit into different robot manufacturers, programming language. Further steps of the presented approach will include the possibility of path optimization by the industrial manipulator itself.",
keywords = "Gesture recognition, Human-Robot Interaction, Industrial automation, Multi-modal on-line programming, Robotics",
author = "Antonios Sylari and Ferrer, {Borja Ramis} and Lastra, {Jose L.Martinez}",
note = "jufoid=72024 INT=atme,{"}Sylari, Antonios{"}",
year = "2019",
month = "7",
day = "1",
doi = "10.1109/INDIN41052.2019.8972301",
language = "English",
series = "IEEE International Conference on Industrial Informatics (INDIN)",
publisher = "IEEE",
pages = "827--834",
booktitle = "2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Hand gesture-based on-line programming of industrial robot manipulators

AU - Sylari, Antonios

AU - Ferrer, Borja Ramis

AU - Lastra, Jose L.Martinez

N1 - jufoid=72024 INT=atme,"Sylari, Antonios"

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Robots are widely used in industrial manufacturing processes and play an important role in the enhancement of industrial organizations productivity. One of the major issues that engineers are facing is that, current programming methods are too time-consuming and they lack of intuitiveness use by human users. However, the latest advances in the field of sensors, let manufacturers to develop and produce devices that allow humans to interact with machines in a more intuitive way, reducing the need of additional complex software components, and hence, the required time to establish the aforementioned human-machine interactions. This research work presents an approach for gesture-based on-line programming of industrial robot manipulators. This is achieved by utilizing a combination of devices with a set of integrated, cost-effective visual and bending sensors, in order to precisely track the user's hand position and gestures at system run-time. This continuous tracking allows the robot manipulator to mimic the operator's hand motion. In addition, desired paths performed by a human with expertise on task execution, are translated into robot targets, composing a new robot path, and are stored for later use. Such path can be modified to fit into different robot manufacturers, programming language. Further steps of the presented approach will include the possibility of path optimization by the industrial manipulator itself.

AB - Robots are widely used in industrial manufacturing processes and play an important role in the enhancement of industrial organizations productivity. One of the major issues that engineers are facing is that, current programming methods are too time-consuming and they lack of intuitiveness use by human users. However, the latest advances in the field of sensors, let manufacturers to develop and produce devices that allow humans to interact with machines in a more intuitive way, reducing the need of additional complex software components, and hence, the required time to establish the aforementioned human-machine interactions. This research work presents an approach for gesture-based on-line programming of industrial robot manipulators. This is achieved by utilizing a combination of devices with a set of integrated, cost-effective visual and bending sensors, in order to precisely track the user's hand position and gestures at system run-time. This continuous tracking allows the robot manipulator to mimic the operator's hand motion. In addition, desired paths performed by a human with expertise on task execution, are translated into robot targets, composing a new robot path, and are stored for later use. Such path can be modified to fit into different robot manufacturers, programming language. Further steps of the presented approach will include the possibility of path optimization by the industrial manipulator itself.

KW - Gesture recognition

KW - Human-Robot Interaction

KW - Industrial automation

KW - Multi-modal on-line programming

KW - Robotics

U2 - 10.1109/INDIN41052.2019.8972301

DO - 10.1109/INDIN41052.2019.8972301

M3 - Conference contribution

T3 - IEEE International Conference on Industrial Informatics (INDIN)

SP - 827

EP - 834

BT - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019

PB - IEEE

ER -