Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2012, Pages 524-530

  Matsubara, Takamitsu ^a,b   Uchikata, Akimasa ^a,b   Morimoto, Jun ^a  

^a ATR CNS   (Japan)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Biped Walking; Periodic Movements; Spatio temporal Synchronization; Style phase Adaptation

Indexed keywords

BIPED WALKING; GENERATED TRAJECTORIES; OBSERVATION MODEL; PARAMETER CONTROL; PERIODIC MOVEMENTS; SPATIO TEMPORAL; STYLE-PHASE ADAPTATION; TEMPORAL PROFILE;

ROBOTICS;

EID: 84864449228     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2012.6224854     Document Type: Conference Paper

References (21)

1. N. Miller, O. Jenkins, M. Kallmannm, and M. Mataric, "Motion capture from inertial sensing for untethered humanoid teleoperation," in 4th IEEE/RAS International Conference on Humanoid Robots, 2004, pp. 547-565.
2. J. Laszlo, M. van de Panne, and E. Fiume, "Interactive control for physically-based animation," in In Computer Graphics Proceedings, Annual Conference Series, 2000, ACM SIGGRAPH, 2000, pp. 201-209.
3. T. Shiratori and J. K. Hodgins, "Accelerometer-based user interfaces for the control of a physically simulated character," ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2008), vol. 27, no. 5, pp. 1-9, 2008.
4. S. Hyon, J. Morimoto, T. Matsubara, T. Noda, and M. Kawato, "XoR: Hybrid Drive Exoskeleton Robot That Can Balance," in Proceedings of the IEEE/RSJ Intl. Conference on Intelligent Robots and Systems, 2011, pp. 2715-2722.
5. K. Suzuki, G. Mito, H. Kawamoto, Y. Hasegawa, and Y. Sankai, "Intention-based walking support for paraplegia patient with robot suithal," Advanced Robotics, vol. 21, no. 12, pp. 1441-1469, 2007.
6. G. Taga, Y. Yamaguchi, and H. Shimizu, "Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment," Biological Cybernetics, vol. 65, no. 147-159, 1991.
7. G. Endo, J. Morimoto, J. Nakanishi, and G. Cheng, "An empirical exploration of a neural oscillator for biped locomotion control," in Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004, pp. 3036-3042.
8. J. Nakanishi, J. Morimoto, G. Endo, G. Cheng, S. Schaal, and M. Kawato, "Learning from demonstration and adaptation of biped locomotion," Robotics and Autonomous Systems, vol. 47, no. 2-3, pp. 79-91, 2004.
9. K. Tsuchiya, S. Aoi, and K. Tsujita, "Locomotion control of a biped locomotion robot using nonlinear oscillator," in Proceedings of the 2003 IEEE/RSJ Intl. Conference on Intelligent Robots and Systems, 2003, pp. 1745-1750.
10. T. Matsubara, J. Morimoto, J. Nakanishi, M. Sato, and K. Doya, "Learning cpg-based biped locomotion with a policy gradient method," Robotics and Autonomous Systems, vol. 54, pp. 911-920, 2006.
11. J. Morimoto, G. Endo, J. Nakanishi, and G. Cheng, "A biologically inspired biped locomotion strategy for humanoid robots: Modulation of sinusoidal patterns by a coupled oscillator model," IEEE Transactions on Robotics, vol. 24, no. 1, pp. 185-191, 2008.
12. X. Zhang and M. Hashimoto, "SBC for motion assist using neural oscillator," in IEEE International Conference on Robotics and Automation, 2009, pp. 659-664.
13. G. Cheng, S. Hyon, J. Morimoto, A. Ude, J. Hale, G. Colvin, W. Scroggin, and S. Jacobsen, "CB: A humanoid research platform for exploring neuroscience," Journal of Advance Robotics, vol. 21, no. 10, pp. 1097-1114, 2007.
14. T. Matsubara, S. Hyon, and J. Morimoto, "Real-time stylistic predictions for whole-hody human motions," Neural Networks, vol. 25, no. 1, pp. 191-199, 2012.
15. J. B. Tenenbaum and W. T. Freeman, "Separating style and content with bilinear models," Neural Computation, vol. 12, pp. 1247-1283, 2000.
16. C. E. Rasmussen and C. K. I. Williams, Gaussian Processes for Machine Learning. MIT Press, 2006.
17. M. Sato and S. Ishii, "On-line EM algorithm for the normalized gaussian network," Neural Computation, vol. 12, no. 2, pp. 407-432, 2000.
18. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, Series B, vol. 39, no. 1, pp. 1-38, 1977.
19. R. H. Shumway and D. S. Stoffer, "An approach to time series smoothing and forecasting using the EM algorithm," Journal of Time Series Analysis, vol. 3, no. 4, pp. 253-264, 1982.
20. Z. Ghahramani and G. E. Hinton, "Parameter estimation for linear dynamical systems," Technical Report.
21. S. H. Strogtz, Nonlinear Dynamics and Chaos. Westview Pres, 1994.