Sensors 2012, 12(6), 7451-7467; doi:10.3390/s120607451
Article

Intelligent Emergency Stop Algorithm for a Manipulator Using a New Regression Method

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Received: 2 May 2012; in revised form: 25 May 2012 / Accepted: 28 May 2012 / Published: 31 May 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In working environments with large manipulators, accidental collisions can cause severe personal injuries and can seriously damage manipulators, necessitating the development of an emergency stop algorithm to prevent such occurrences. In this paper, we propose an emergency stop system for the efficient and safe operation of a manipulator by applying an intelligent emergency stop algorithm. Our proposed intelligent algorithm considers the direction of motion of the manipulator. In addition, using a new regression method, the algorithm includes a decision step that determines whether a detected object is a collision-causing obstacle or a part of the manipulator. We apply our emergency stop system to a two-link manipulator and assess the performance of our intelligent emergency stop algorithm as compared with other models.
Keywords: emergency stop algorithm; risk and inefficiency; regression method
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MDPI and ACS Style

Cheon, M.; Lee, J.; Lee, W.; Hyun, C.-H.; Park, M. Intelligent Emergency Stop Algorithm for a Manipulator Using a New Regression Method. Sensors 2012, 12, 7451-7467.

AMA Style

Cheon M, Lee J, Lee W, Hyun C-H, Park M. Intelligent Emergency Stop Algorithm for a Manipulator Using a New Regression Method. Sensors. 2012; 12(6):7451-7467.

Chicago/Turabian Style

Cheon, Minkyu; Lee, Jeisung; Lee, Wonju; Hyun, Chang-Ho; Park, Mignon. 2012. "Intelligent Emergency Stop Algorithm for a Manipulator Using a New Regression Method." Sensors 12, no. 6: 7451-7467.


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