Control design for human-like reaching movements using redundancy in robot arm-trunk systems
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This paper develops a control algorithm to show the human-like reaching movements in humanoid redundant systems involving the trunk. This algorithm neither requires the computation of pseudo-inverse of Jacobian nor does it need the optimization of any artificial performance index. The control law accommodates the time-varying temporal properties of the muscle stiffness and damping as well as low-pass filter characteristics of human muscles. It uses a time-varying damping shaping matrix and a bijective joint muscle mapping function to describe the spatial characteristics of human reaching motion like quasi-straight line trajectory of the end-effector and symmetric bell shaped velocity profile as well as the temporal characteristics like the occurrence of the peak velocity of the trunk motion after the peak velocity of the arm motion. The aspect of self-motion is also analyzed using the null-space motion of the manipulator Jacobian. The effects of the control parameters on the motion pattern are analyzed in detail and some basic guidelines have been provided to select their proper values. Simulation results show the efficacy of the newly developed algorithm in describing humanmotion characteristics.
- T. Flash and N. Hogan, “The coordination of arm movements: an experimentally confirmed mathematical model,” Journal of NeuroScience, vol. 5, pp. 1688–1703, 1985.
- Y. Uno, M. Kawato, and R. Suzuki, “Formation and control of optimal trajectory in human multi-joint arm movement,” Biological Cybernetics, vol. 61, pp. 89–101, 1989. CrossRef
- W. Nelson, “Physical principle for economics of skilled movements,” Biological Cybernetics, vol. 46, pp. 135–147, 1983. CrossRef
- Z. Hasan, “Optimized movement trajectories and joint stiffness in unperturbed, initially loaded movements,” Biological Cybernetics, vol. 53, pp. 373–382, 1986. CrossRef
- V. Potonjak, S. Tzafestas, D. Kostic, G. Djoudjevic, and M. Rasic, “The handwriting problem,” IEEE International Robotics and Automation Magazine, vol. 10, no. 1, pp. 35–46, 2003. CrossRef
- T. Yoshikawa, “Manipulability of robotic mechanisms,” International Journal of Robotics Research, vol. 4, pp. 3–9, 1984.
- S. Arimoto, M. Sekimoto, H. Hashiguchi, and R. Ozawa, “Natural resolution of ill-posedness of inverse kinematics for redundant robots: a challenge to Bernstein’s degrees-of-freedom problem,” Advanced Robotics, vol. 19, no. 4, pp. 401–434, 2005. CrossRef
- S. Arimoto, H. Hashiguchi, M. Sekimoto, and R. Ozawa, “Generation of natural motions for redundant multi-joint systems: a differential-geometric approach based upon the principle of least actions,” Journal of Robotic Systems, vol. 22, no. 11, pp. 583–605, 2005. CrossRef
- S. Arimoto, M. Sekimoto, and R. Ozawa, “A challenge to Bernstein’s degrees-of-freedom problem in both cases of human and robotic multi-joint movements,” IEICE Transactions on Fundamentals, vol. E88-A, no. 10, pp. 2484–2494, 2005. CrossRef
- T. R. Kaminski, C. Bock, and A. M. Gentile, “The coordination between trunk and arm motion during pointing movements,” Experimental Brain Research, vol. 106, pp. 457–466, 1995. CrossRef
- S. V. Adamovich, P. S. Archambault, M. Ghafouri, M. F. Levin, H. Poizner, and A. G. Feldman, “Hand-trajectory invariance in reaching movements involving the trunk,” Experimental Brain Research, vol. 138, pp. 288–303, 2001. CrossRef
- E. Rossi, A. Mitnitski, and A. G. Feldman, “Sequential control signals determine arm and trunk contributions to hand transport during reaching in humans,” Journal of Physiology, vol. 538, no. 2, pp. 659–671, 2002. CrossRef
- Y. Xu and J. M. Hollerbach, “Identification of human joint mechanical properties from single trial data,” IEEE Trans. on Biomedical Engineering, vol. 5, no. 8, pp. 1051–1059, 1998.
- D. J. Bennet, J. M. Hollerbach, and I. W. Hunter, “Time-varying stiffness of human elbow joint during cyclic voluntary movement,” Experimental Brain Research, vol. 88, pp. 433–442, 1992. CrossRef
- D. B. Lockhart and L. H. Ting, “Optimal sensorimotor transformations for balance,” Nature NeuroScience, vol. 10, no. 10, pp. 1329–1335, 2007. CrossRef
- T. D. J. Welch and L. H. Ting, “A feedback model reproduces muscle activity during human postural responses to support-surface translations,” Journal of Neurophysiology, vol. 99, pp. 1032–1038, 2008. CrossRef
- J. He, W. S. Levine, and G. E. Loeb, “Feedback gains for correcting small perturbations to standing posture,” IEEE Trans. on Automatic Control, vol. 38, no. 3, pp. 322–332, 1991. CrossRef
- D. J. Pearsall, J. G. Reid, and R. Ross, “Inertial properties of the human trunk of males determined from magnetic resonance imaging,” Annals of Biomedical Engineering, vol. 22, pp. 692–706, 1994. CrossRef
- V. Martin, A Dynamical Systems Account of the Uncontrolled Manifold and Motor Equivalence in Human Pointing Movements, Ph.D. Thesis, Ruhr-Universiteit, Bochum, Germany.
- P. I. Corke, “A robotics toolbox for MATLAB,” IEEE Robotics and Automation Magazine, vol. 3, no. 1, pp. 24–32, 1996. CrossRef
- T. Bhattacharjee, Y. Oh, J. H. Bae, and S. R. Oh, “Controlling Redundant Robot Arm-Trunk Systems for Human-like Reaching Motion,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2000–2005, 2010.
- Control design for human-like reaching movements using redundancy in robot arm-trunk systems
International Journal of Control, Automation and Systems
Volume 9, Issue 6 , pp 1173-1186
- Cover Date
- Print ISSN
- Online ISSN
- Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
- Additional Links
- Arm-trunk systems
- kinematic redundancy
- reaching movements
- Industry Sectors
- Author Affiliations
- 1. Interaction & Robotics Research Center, KIST, 39-1 Hawolgok-dong, Seongbuk-gu, Seoul, 136-791, Korea
- 2. Department of Applied Robot Technology, KITECH, Ansan R&D Center, Sangrok-gu, Ansan, 426-791, Korea