Abstract
This article presents object handling control between two-wheel robot manipulators, and a two-wheel robot and a human operator. The two-wheel robot has been built for serving humans in the indoor environment. It has two wheels to maintain balance and is able to make contact with a human operator via an object. A position-based impedance force control method is applied to maintain stable object-handling tasks. As the human operator pushes and pulls the object, the robot also reacts to maintain contact with the object by pulling and pushing against the object to regulate a specified force. Master and slave configuration of two-wheel robots is formed for handling an object, where the master robot or a human leads the slave robot equipped with a force sensor. Switching control from position to force or vice versa is presented. Experimental studies are performed to evaluate the feasibility of the object-handling task between two-wheel mobile robots, and the robot and a human operator.
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References
Twendy-one, “http://www.twendy.com
H. Iwata and S. Sugano, “Design of human symbiotic robot TWENDY-ONE,” Proc. of IEEE International Conference on Robotics and Automation, pp. 580–586, 2009.
Marhu, “http://www.kist.re.kr/en
J. Maitin-Shepard, M. Cusumano-Towner, J. Lei, and P. Abbeel, “Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding,” Proc. of IEEE International Conference on Robotics and Automation, pp. 2308–2315, 2010.
R. O. Ambrose, R. T. Savely, S. M. Goza, P. Strawser, M. A. Diftler, I. Spain, and N. Radford, “Mobile manipulation using NASA’s Robonaut,” Proc. of IEEE International Conference on Robotics and Automation, pp. 2104–2109, 2004.
Y. Wu and Y. Hu, “Output tracking control of mobile manipulator via dynamical sliding mode control,” Proc. of IEEE Conf. on Mechatronics and Automation, pp. 2160–2164, 2005.
Y. Chen, L. Liu, M. Zhang, and H. Rong, “Study on coordinated control and hardware system of a mobile manipulator,” Proc. of World Congress. on Intelligent control and Automation, pp. 9037–9041, 2006.
S. H. Jeong and T. Takayuki, “Wheeled inverted pendulum type assistant robot: design concept and mobile control,” Proc. of IEEE IROS, pp. 1932–1937, 2007.
X. Tan, D. Zhao, J. Yi, Z. G. Hou, and D. Xu, “Unified model and robust neural network control of omni-directional mobile manipulators,” Proc. of IEEE Conf. on Cognitive Informatics, pp. 411–418, 2007.
P. K. Abeygunawardhana and M. Toshiyuki, “Environmental interaction of two wheeled mobile manipulator by using reaction torque observer,” Proc. of IEEE Workshop on Advanced Motion Control, pp. 348–353, 2008.
C. Ding, P. Duan, M. Zhang, and H. Liu, “The Kinematics analysis of a redundant mobile manipulator,” Proc. of IEEE Conference on Automations and Logistics, pp. 2352–2357, 2008.
G. D. White, R. M. Bhatt, C. P. Tang, and V. N. Krovi, “Experimental evaluation of dynamic redundancy resolution in a non-holonomic wheeled mobile manipulator,” IEEE/ASME Trans. on Mechatronics, vol. 14, no. 3, pp. 349–357, 2009.
D. Xu, D. Zhao, J. Yi, and X. Tan, “Trajectory tracking control of omni-directional wheeled mobile manipulators: robust neural network-based sliding mode approach,” IEEE Trans. on Systems, man, and Cybernetics, vol. 39, no. 3, pp. 788–799, 2009.
J. S. Noh, G. H. Lee, and S. Jung, “Position control of a mobile inverted pendulum system using radial basis function network,” Proc. of IEEE WCCI, pp. 371–377, 2008.
H. J. Lee and S. Jung, “Control of a mobile inverted pendulum robot system,” Proc. of International Conference on Control, Automation and Systems, pp. 217–222, 2008.
S. S. Kim and S. Jung, “Control experiment of a wheel-driven mobile inverted pendulum using neural network,” IEEE Trans. on Control Systems Technology, vol. 16, no. 2, pp. 297–303, 2008.
H. J. Lee and S. Jung, “Gyro sensor drift compensation by Kalman filter to control a mobile inverted pendulum robot system,” Proc. of IEEE International Conference on Industrial Technology, pp. 1026–1031, 2009.
K. Sasaki and T. Murakami, “Pushing operation by two-wheel inverted mobile manipulator,” Proc. of IEEE Workshop on Advanced Motion Control, pp. 33–37, 2008.
Z. Li, S. S. Ge, and Z. Wang, “Robust adaptive control of coordinated multiple mobile manipulators,” Proc. of IEEE Conf. on Control Applications, pp. 71–76, 2007.
H. J. Lee and S. Jung, “Guidance control of a wheeled mobile robot with human interaction based on force control,” International Journal of Control, Automation, and Systems, vol. 8, no. 2, pp. 361–368, 2010.
O. Chuy, Y. Hirata, and K. Kosuge, “Control of walking support system based on variable center of rotation,” Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2289–2294, 2004.
Z. D. Wang, Y. Hirata, and K. Kosuge, “Impedance-based motion control of passive-type robot porter for handling an object,” Proc. of the IEEE International Conference on Robotics and Biomimetics, pp. 709–714, 2006.
J. K. Ahn, S. J. Lee, and S. Jung, “Design strategies and control experiments of a home service robot with a balancing mechanism,” Proc. of International Conference on Humanized Systems, pp. 85–88, 2010.
J. K. Ahn, S. J. Lee, and S. Jung, “Force control application to a mobile manipulator with balancing mechanism,” Proc. of IEEE IECON, pp. 1522–1527, 2010.
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Recommended by Editorial Board member Pinhas Ben-Tzvi under the direction of Editor Hyouk Ryeol Choi.
This work was supported by the Korea Research Foundation under grant of Basic Research Program and AIM.
Seung Jun Lee received his B.S. degree in Mechatronics Engineering from Chungnam National University and his M.S. degree from the Department of Mechatronics Engineering, Chungnam National University, in 2008 and 2011, respectively. He is currently at Rehabilitation research center, Korea. His research interests include intelligent robot applications, rehabilitation robots, assistive technology.
Seul Jung received his B.S. degree in Electrical and Computer Engineering from Wayne State University, Detroit, MI, USA, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of California, Davis, in 1988, 1991 and 1996, respectively. In 1997, he joined the Department of Mechatronics Engineering, Chungnam National University, where he is presently a professor. His research interests include intelligent Mechatronics systems, intelligent robotic systems, mobile manipulators for home service applications, and robot education. He is a member of IEEE, ACA, ICROS, KROS, KIIS, KIEE, IEMEK, and IEEK.
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Lee, S.J., Jung, S. Object handling control among two-wheel robots and a human operator: An empirical approach. Int. J. Control Autom. Syst. 11, 346–353 (2013). https://doi.org/10.1007/s12555-011-0179-2
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DOI: https://doi.org/10.1007/s12555-011-0179-2