Online dynamically balanced ascending and descending gait generations of a biped robot using soft computing

International Journal of Humanoid Robotics

Volumn 4, Issue 4, 2007, Pages 777-814

  Vundavilli, Pandu Ranga ^a   Sahu, Sambit Kumar ^a   Pratihar, Dilip Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Ascending and descending gaits; Biped robot; Genetic fuzzy system; Genetic neural system; Online; Staircase

Indexed keywords

ALGORITHMS; BIPED LOCOMOTION; COMPUTER SIMULATION; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GAIT ANALYSIS; MATHEMATICAL MODELS; SOFT COMPUTING;

ASCENDING GAITS; BIPED ROBOT; DESCENDING GAITS; TWO-LEGGED ROBOT;

MOBILE ROBOTS;

EID: 38749153979     PISSN: 02198436     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219843607001254     Document Type: Article

References (31)

1. M. Vukobratovic, A. A. Frank and D. Juricic, On the stability of biped locomotion, IEEE Trans. Biomed. Eng. BME 17(1) (1970) 25-36.
2. D. Juricic and M. Vukobratovic, Mathematical modeling of biped walking systems, ASME Publ. 72-WA/BHF13 (1972).
3. S. Kajita, F. Kanehiro, K. Kaneko, K. Fujiwara, K. Yokoi and H. Hirukawa, A real time pattern generator for biped walking, in IEEE Int. Conf. Robotics and Automation, Washington, DC (May 2002), pp. 31-37.
4. K. Mitobe, G. Capi and Y. Nasu, A new control method for walking robots based on angular momentum, Mechatronics 14 (2004) 163-174.
5. A. Goswami, Foot rotation indicator (FRI) point: A new gait planning tool to evaluate postural stability of biped robots, in IEEE Int. Conf. Robotics and Automation, Detroit, Michigan (May 1999), pp. 47-52.
6. Y. J. Seo and Y. S. Yoon, Design of a robust dynamic gait of the biped using the concept of dynamic stability margin, Robotica 13 (1995) 461-468.
7. F. Plestan, W. G. Jessy, R. Westervelt and A. Gabrial, Stable walking of a 7-DOF biped robot, in IEEE Trans. Robot. Automat. 19(4) (2003) 653-668.
8. H. Lim, Y. Kaneshima and A. Takanishi, On line walking pattern generation for biped humanoid robot with trunk, in IEEE Int. Conf. Robotics and Automation, Washington, DC (May 2002), pp. 3111-3116.
9. A. Sano and J. Furusho, Realization of natural dynamic walking using the angular momentum information, in IEEE Int. Conf. Robot. Automat. (1990) 1476-1481.
10. J. Kim, I. Park, J. Lee, M. Kim, B. Cho and J. Oh, System design and dynamic walking of humanoid robot KHR-2, in IEEE Int. Conf. Robotics and Automation, Barcelona, Spain (April 2005), pp. 1443-1448.
11. C. Shih, Ascending and descending stairs for a biped robot, IEEE Trans. Syst. Man Cybermat. - PART-A: Syst. Hum. 29(3) (1999) 255-268.
12. Y. F. Zheng, J. Shen and F. R. Sias Jr, A motion control scheme for a biped robot to climb sloping surfaces, in IEEE Int. Conf. Robot. Automat. 2 (1988) 814-816.
13. H. K. Lum, M. Zribi and Y. C. Soh, Planning and control of biped robot, Int. J. Eng. Sci. 37 (1999) 1319-1349.
14. L. A. Zadeh, Fuzzy logic and calculi of fuzzy rules, fuzzy graphs and fuzzy probabilities, in Int. Neural Network Society Annual Meeting San Diego (5-9 June 1994), p. 695.
15. A. Satyadas and H. C. Chen, Fuzzy membership function in soft computing models, Int. Neural Network Society Annual Meeting, San Diego (5-9 June 1994), p. 1772.
16. A. W. Salatian and Y. F. Zheng, Gait synthesis for a biped robot climbing sloping surfaces using neural networks. Part II. Dynamic learning, in IEEE Int. Conf. Robotics and Automation, Nice, France (1992), pp. 2607-2611.
17. W. T. Miller, III, Real-time neural network control of a biped walking robot, IEEE Contr. Syst. (1994), pp. 41-48.
18. A. Kun and W. T. Miller III, Adaptive dynamic balance of a biped robot using neural networks, in IEEE Int. Conf. Robotics and Automation, Minneapolis, Minnesota (April 1996), pp. 240-245.
19. O. Bebek and K. Erbatur, Adaptive fuzzy systems for tuning biped robot gait parameters, FIRA Robot World Congress 2003, Vienna, Austria (1-3 October 2003).
20. J. H. Park, Fuzzy-logic zero-moment point trajectory generation for reduced trunk motions of biped robots, Fuzzy Sets Syst. 134 (2003) 189-203.
21. C. Zhou and Q. Meng, Dynamic balance of a biped robot using fuzzy reinforcement learning agents, Fuzzy Sets Syst. 134 (2003) 169-187.
22. G. Capi, S. Kaneko, K. Mitobe, L. Barolli and Y. Nasu, Optimal trajectory generation for a prismatic joint robot using genetic algorithms, Robot. Autonom. Syst. 38 (2002) 119-128.
23. G. Capi, Y. Nasu, L. Borolli and K. Mitobi, Real time gait generation for autonomous humanoid robots: A case study for walking, Robot. Autonom. Syst. 42 (2003) 107-116.
24. C. Paul and J. C. Bongard, The road less traveled: Morphology in the optimization of biped robot locomotion, in IEEE/RSJ Int. Conf. Intelligent Robots and Systems, Maui, Hawaii, USA (October 29-3 November 2001), pp. 226-232.
25. C. Sabourin and O. Bruneau, Robustness of the dynamic walk of a biped robot subjected to disturbing external forces by using CMAC neural networks, Robot. Autonom. Syst. 51 (2005) 81-99.
26. C. Zhou and K. Jagannathan, Adaptive network based fuzzy control of a dynamic biped walking robot, IEEE Int. Joint Symp. Intell. Syst. (1996) 109-116.
27. E. Cuevas, D. Zaldivar and R. Rojas, Incremental fuzzy control for a biped robot balance, in Int. Conf. Robotics and Applications, Cambridge, USA (October 31-2 November 2005).
28. R. K. Jha, B. Singh and D. K. Pratihar, Online stable gait generation of a two-legged robot using a genetic-fuzzy system, Robot. Autonom. Syst. 53 (2005) 15-35.
29. P. R. Vundavilli, S. K. Sahu and D. K. Pratihar, Dynamically balanced ascending and descending gaits of a two-legged robot, Int. J. Humanoid Robotics 4(4) (2007) 717-751.
30. K. S. Fu, R. C. Ganzalez and C. S. G. Lee, ROBOTICS Control, Sensing, Vision and Intelligence (McGraw-Hill International Edition, Industrial Engineering Series, 1987).
31. E. H. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man Mach. Stud. 7 (1975) 1-13.