Biped gait optimization using spline function based probability model

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 830-835

  Hu, Lingyun ^a,b   Zhou, Changjiu ^b   Sun, Zengqi ^a  

^a TSINGHUA UNIVERSITY   (China)

^b SINGAPORE POLYTECHNIC   (Singapore)

Author keywords

Biped robot; EDA; Gait optimization; Probability distribution; Spline function

Indexed keywords

BIPED LOCOMOTION; ENERGY EFFICIENCY; MOBILE ROBOTS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

BIPED ROBOT; GAIT OPTIMIZATION; SPLINE FUNCTION;

PARAMETER ESTIMATION;

EID: 33845637358     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1641812     Document Type: Conference Paper

References (17)

1. C. Chevallereau, Y. Aoustin, "Optimal reference trajectories for walking and running of a biped robot," Robotica, vol. 19, pp. 557-569, 2001.
2. Q. Huang, et al, "Planning walking patterns for a biped robot," IEEE Trans. on Robotics and Automation, vol. 17, no. 3, pp. 280-290, 2001.
3. T. McGeer, "Passive dynamic walking," Int. Journal of Robotics Research, vol.9, no.2, pp. 62-82, 1990.
4. F. Asano, M. Ymakita, K. Furuta, "Virtual passive dynamic walking and energy-based control laws," Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, vol. 2, pp. 1149-1134, 2000.
5. J. Hu, J. Pratt, G. Pratt, "Stable adaptive control of a bipedal walking robot with CMAC neural networks," Proc. IEEE Int. Conf. on Robotics and Automation, Detroit, USA, pp. 1950-1956, 1999.
6. C. Zhou, Q. Meng, "Dynamic balance of a biped robot using fuzzy reinforcement learning agents," Fuzzy sets and Systems, vol. 134, no. 1, pp. 169-187, 2003.
7. G. Capi, S. et al, "Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms," Robotics and Autonomous Systems, vol. 38, pp.119-128, 2002.
8. P. Larranaga, J. A. Lozano, Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, Kluwer Academic Publishers, 2001.
9. J. R. Greene, "Population-based incremental learning as a simple versatile tool for engineering optimization," Proc. the first Int. Conf. on EC and Applications, 1996, pp. 258-269.
10. I. J. Schoenberg, "Contributions to the Problem of Approximation of Equidistant Data by Analytic Functions. Part A-On the Problem of Smoothing or Graduation. A First Class of Analytic Approximation Formulae", Quarterly of Applied Mathematics, vol. IV, no. 1, pp. 45-99, 1946.
11. J.W. Grizzle, G. Abba, F. Plestan, "Asymptotically stable walking for biped robots: analysis via systems with impulse effects," IEEE Trans. on Automatic Control, vol. 46, No. 1, pp. 51-58, 2001.
12. M. Vukobratovic, J. Stepanenko, "On the stability of anthropomorphic systems," Math. Biosci. vol. 15, no. 1, pp. 1-37, 1972.
13. L. Hu, C. Zhou, Z. Sun, "Biped gait optimization using estimation of distribution algorithm," Proc. of the 5th IEEE-RAS International Conference on Humanoid Robots, Japan, pp. 283-289, 2005.
14. P. Thévenaz, T. Blu, M. Unser, "Interpolation Revisited," IEEE Trans. on Medical Imaging, vol. 19, no. 7, pp. 739-758, 2000.
15. L. Vecci, F. Piazza, A. Uncini, "Learning and approximation capabilities of adaptive spline activation function neural networks," Neural Networks. vol. 11, no. 2, pp. 259-270, 1998.
16. T. Blu, M. Unser, "Quantitative Fourier analysis of approximation techniques: Part I - Interpolators and projectors," IEEE Trans. on Signal Processing, vol.47, no. 10, pp. 2783-2795, 1999.
17. C. Zhou, P. K. Yue, "Robo-Erectus: a low cost autonomous humanoid soccer robot," Advanced Robotics, vol.18, no.7, pp. 717-720, 2004.