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Human - robot collision detection and identification based on fuzzy and time series modelling

  • Fotios Dimeas (a1), L. D. Avendaño-Valencia (a2) and Nikos Aspragathos (a1)

In this paper, two methods are proposed and implemented for collision detection between the robot and a human based on fuzzy identification and time series modelling. Both methods include a collision detection system for each joint of the robot that is trained to approximate the external torque. In addition, the proposed methods are able to detect the occurrence of a collision, the link that collided and to some extent the magnitude of the collision without using the explicit model of the robot. Since the speed of the detection is of critical importance for mitigating the danger, attention is paid to recognise a collision as soon as possible. Experimental results conducted with a KUKALWR manipulator using two joints in planar motion, verify the validity on both methods.

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3. F. Flacco , T. Kroger , A. De Luca and O. Khatib , “A Depth Space Approach to Human-Robot Collision Avoidance,” Proceedings of the 2012 IEEE International Conference on Robotics and Automation, IEEE (May 2012) pp. 338345.

4. T. L. Lam , H. W. Yip , H. Qian and Y. Xu , “Collision Avoidance of Industrial Robot Arms Using an Invisible Sensitive Skin,” Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE (Oct. 2012) pp. 45424543.

5. W. Chen , Y. Sun and Y. Huang , “A Collision Detection System for an Assistive Robotic,” In: Communications in Computer and Information Science ( K. Li , X. Li , S. Ma and G. W. Irwin , eds.) (SpringerBerlin Heidelberg, 2010) pp. 117123.

6. Y. Yamada , Y. Hirasawa , S. Huang , Y. Umetani and K. Suita , “Human-robot contact in the safeguarding space,” IEEE/ASME Trans. Mechatronics 2 (4), 230236 (1997).

7. T. Matsumoto and K. Kosuge , “Collision Detection of Manipulator Based on Adaptive Control Law,” Proceedings of the 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Cat. No.01TH8556), volume 1. IEEE (2001) pp. 177182.

10. A. De Luca and R. Mattone , “Sensorless Robot Collision Detection and Hybrid Force/Motion Control,” Proceedings of the 2005 IEEE International Conference on Robotics and Automation. IEEE (2005) pp. 9991004.

11. C.-N. Cho , J.-H. Kim , S.-D. Lee and J.-B. Song , “Collision detection and reaction on 7 DOF service robot arm using residual observer,” J. Mech. Sci. Technol. 26 (4), 11971203 (Apr. 2012).

12. M. Bouattour , M. Chadli , M. Chaabane and A. Hajjaji , “Design of robust fault detection observer for Takagi-Sugeno models using the descriptor approach,” Int. J. Control Autom. Syst. 9 (5), 973979 (Oct. 2011).

13. J. S. Sakellariou and S. D. Fassois , “Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method,” Mech. Syst. Signal Process. 22 (3), 557573 (2008).

14. A. G. Poulimenos and S. D. Fassois , “Parametric time-domain methods for non-stationary random vibration modelling and analysis: A critical survey and comparison,” Mech. Syst. Signal Process. 20 (4), 763816 (2006).

15. L. Guiarre , D. Bauso , P. Falugi and B. Bamieh , “LPV model identification for gain scheduling control: An application to rotating stall and surge control problem,” Control Eng. Pract. 14, 351361 (2006).

16. W. Chung , L.-C. Fu and S.-H. Hsu , “Motion Control,” In: Springer Handbook of Robotics ( B. Siciliano and O. Khatib , eds.) (Berlin Heidelberg, 2008) pp. 133159.

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  • ISSN: 0263-5747
  • EISSN: 1469-8668
  • URL: /core/journals/robotica
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