Abstract
The importance of human-robot collision safety has been increasing recently due to the introduction of collaborative robots. However, conventional collision detection methods usually require additional sensors such as skin sensors, joint torque sensors, and acceleration sensors, which are impractical to implement due to their high cost. To address this problem, in this study we propose a collision detection method using only a manipulator’s encoder without any extra sensors. In the proposed scheme, the external torque due to collision is estimated using a generalized momentum-based observer and a friction torque model in the harmonic drive developed for a robot that is conducting position control. The performance of the proposed collision detection method was evaluated using a 6 DOF industrial manipulator. The experimental results show that collision can be reliably detected without any extra sensors for any type of robot manipulator.
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Choi, D.-E., Lee, W., Hong, S. H., Kang, S.-C., Lee, H., and Cho, C.-H., “Design of Safe Joint with Variable Threshold Torque,” Int. J. Precis. Eng. Manuf., vol. 15, no. 12, pp. 2507–2512, 2014.
Flacco, F., Kröger, T., De Luca, A., and Khatib, O., “A Depth Space Approach to Human-Robot Collision Avoidance,” Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 338–345, 2012.
Lee, S.-D., Kim, B.-S., and Song, J.-B., “Human–Robot Collision Model with Effective Mass and Manipulability for Design of a Spatial Manipulator,” Advanced Robotics, vol. 27, no. 3, pp. 189–198, 2013.
Haddadin, S., Haddadin, S., Khoury, A., Rokahr, T., Parusel, S., et al., “A Truly Safely Moving Robot has to Know what Injury it May Cause,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5406–5413, 2012.
Ulmen, J. and Cutkosky, M., “A Robust, Low-Cost and Low-Noise Artificial Skin for Human-Friendly Robots,” Proc. of IEEE International Conference on Robotics and Automation (ICRA), pp. 4836–4841, 2010.
Dixon, W. E., Walker, L. D., Dawson, D. M., and Hartranft, J. P., “Fault Detection for Robot Manipulators with Parametric Uncertainty: A Prediction-Error-based Approach,” IEEE Transactions on Robotics and Automation, vol. 16, no. 6, pp. 689–699, 2000.
De Luca, A. D. and Mattone, R., “Actuator Failure Detection and Isolation using Generalized Momenta,” Proc. of IEEE International Conference on Robotics and Automation, vol. 1, pp. 634–639, 2003.
Haddadin, S., Albu-Schäffer, A., De Luca, A., and Hirzinger, G., “Collision Detection and Reaction: A Contribution to Safe Physical Human-Robot Interaction,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3356–3363, 2008.
Sciavicco, L. and Siciliano, B., “Modelling and Control of Robot Manipulators,” Springer, 2nd Ed., pp. 140–143, 2000.
Seyfferth, W., Maghzal, A., and Angeles, J., “Nonlinear Modeling and Parameter Identification of Harmonic Drive Robotic Transmissions,” Proc. of IEEE International Conference on Robotics and Automation, vol. 3, pp. 3027–3032, 1995.
Le Tien, L., Albu-Schäffer, A., De Luca, A., and Hirzinger, G., “Friction Observer and Compensation for Control of Robots with Joint Torque Measurement,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3789–3795, 2008.
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Lee, SD., Song, JB. Sensorless collision detection based on friction model for a robot manipulator. Int. J. Precis. Eng. Manuf. 17, 11–17 (2016). https://doi.org/10.1007/s12541-016-0002-3
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DOI: https://doi.org/10.1007/s12541-016-0002-3