A Study on Intelligent Control of Real-Time Working Motion Generation of Bipped Robot |
Kim, Min-Seong
(Dept. of Advanced Engineering, Kyungnam University)
Jo, Sang-Young (Dept. of Advanced Engineering, Kyungnam University) Koo, Young-Mok (Dept. of Advanced Engineering, Kyungnam University) Jeong, Yang-Gun (shintech Co., Ltd.) Han, Sung-Hyun (School of Mechanical Engineering, Kyungnam University) |
1 | Y. F. Zheng and F. R. Sias Jr., Design and motion control of practical biped robots,Int. J. on R & A, Int. J. on R & A, vol.3, No. 2, pp. 70-77, China. 1988 |
2 | Sylvain Miossec, Yannick Aoustin, A Simplified Stability Study for a Biped Walk with Underactuated and Overactuated Phases, The International Journal of Robotics Reserch, vol 24, no. 7, pp. 537-551,France. 2005, DOI |
3 | Tang, Z., Zhou, C. and Sun, Z., Trajectory Planning for Smooth Transition of a Biped Robot Proc Int. conf. on Robotics & Automation, pp. 2455-2460, taiwan. 2003, |
4 | M. Vukobratovic, A. A. Frank, and D. Juricic, On the Stability of BipedLocomotion, Proc. IEEE Transactions on Biomedical Engineering, Vol. BME-17, No.1, pp. 25-36, Yugoslavia. 1970, |
5 | R. B. McGhee, Finite State Control of Quadruped Locomotion, Processing of Second International Symposium on External Control of Human Extremities, Dubrovnik, 1966, |
6 | I. Kato and H. Tsuiki, Hydraulically Powered Biped Walking Machine with a High Carrying Capacity, Processing of Fourth International Symposium on External Control of Human Extremities, Dubrovnik, Yugoslavia. 1972,. |
7 | D. Sbarbaro and K. J. Hunt, Neural networks for Nonlinear Internal Model Control, IEEE Processing-D, vol. 138, no. 5, pp431-438, Scotland. 1991, DOI |
8 | L. Kraft and P. Campagna, A Comparision Between CMAC Neural Network Control and Two Traditional Adaptive Control Systems, IEEE Control System Magazine, pp. 36-43, USA 1990, |
9 | D. I. Jones, P. J. Fleming and A. E. B. Ruano, Connectionist Approach to PID Autotuning, IEE Processing-D, vol. 139, no. 3, pp. 279-285, UK. 1992, DOI |
10 | R. S. Sutton and A. G. Barto, Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems, IEEE Transactions on System, Man and Cybernetics, vol. smc-13, no. 5, PP.834-846, USA. 1983, DOI |
11 | Hirai, K., et al, The development of Honda humanoid robot, Proceedings of ICRA 2:1321-1326, Japan. 1998, |
12 | Chang Seok Oh, Neuro Computer, Naeha All Rights Reserved, Korea. 2000, |
13 | Qiang Huang, Kazuhito Yokoi, Planning Walking Patterns for a Biped Robot, IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, China. 2001, |
14 | Seong-Su Lee, Yong-Wook Kim, Hun Oh, Wal-Seo Park, Implementation of Self-adaptive System using the Algorithm of Neural Network Learning Gain, International Journal of Control, Automation, and Systems, vol.6, no.3, pp. 453-459, Korea. 2008. |