Sensorless collision detection for safe human-robot collaboration

Sang Duck Lee, Min Cheol Kim, Jae-Bok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

As there have been many attempts for human-robot collaborations, various solutions to collision detection have been proposed in order to deal with safety issues. However, existing methods for collision detection include the usage of skin sensors or joint torque sensors, and cannot be applied to robots without these sensors such as industrial manipulators. In this study we propose a sensorless collision detection method. The proposed method detects the collision between robots and humans by identifying the external torques applied to the robot. Without using extra sensors, we observed the joint friction model and motor current. We have formulated the friction model for the robot by using the dynamics of the robot and the observer based on the generalized momentum. In addition, formulation of the friction model and the identification scheme did not include any use of extra sensors. The performance of the proposed collision detection method was evaluated using a 7 DOF manipulator. The experimental results show that collision can be reliably detected without any extra sensors for any type of robot arm.

Original languageEnglish
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2392-2397
Number of pages6
Volume2015-December
ISBN (Print)9781479999941
DOIs
Publication statusPublished - 2015 Dec 11
EventIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015 - Hamburg, Germany
Duration: 2015 Sep 282015 Oct 2

Other

OtherIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
CountryGermany
CityHamburg
Period15/9/2815/10/2

Fingerprint

Robots
Sensors
Friction
Torque
Industrial manipulators
Manipulators
Identification (control systems)
Skin
Momentum

Keywords

  • Collision avoidance
  • Friction
  • Robot sensing systems
  • Service robots
  • Torque

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Lee, S. D., Kim, M. C., & Song, J-B. (2015). Sensorless collision detection for safe human-robot collaboration. In IEEE International Conference on Intelligent Robots and Systems (Vol. 2015-December, pp. 2392-2397). [7353701] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IROS.2015.7353701

Sensorless collision detection for safe human-robot collaboration. / Lee, Sang Duck; Kim, Min Cheol; Song, Jae-Bok.

IEEE International Conference on Intelligent Robots and Systems. Vol. 2015-December Institute of Electrical and Electronics Engineers Inc., 2015. p. 2392-2397 7353701.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, SD, Kim, MC & Song, J-B 2015, Sensorless collision detection for safe human-robot collaboration. in IEEE International Conference on Intelligent Robots and Systems. vol. 2015-December, 7353701, Institute of Electrical and Electronics Engineers Inc., pp. 2392-2397, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015, Hamburg, Germany, 15/9/28. https://doi.org/10.1109/IROS.2015.7353701
Lee SD, Kim MC, Song J-B. Sensorless collision detection for safe human-robot collaboration. In IEEE International Conference on Intelligent Robots and Systems. Vol. 2015-December. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2392-2397. 7353701 https://doi.org/10.1109/IROS.2015.7353701
Lee, Sang Duck ; Kim, Min Cheol ; Song, Jae-Bok. / Sensorless collision detection for safe human-robot collaboration. IEEE International Conference on Intelligent Robots and Systems. Vol. 2015-December Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2392-2397
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