Application of Genetic Algorithms for biped robot gait synthesis optimization during walking and going up-stairs

2001 ◽  
Vol 15 (6) ◽  
pp. 675-694 ◽  
Author(s):  
Genci Capi ◽  
Yasuo Nasu ◽  
Leonard Barolli ◽  
Kazuhisa Mitobe ◽  
Kenro Takeda
Author(s):  
Christian Alberto Matilde Dominguez ◽  
Eduardo Morales Sanchez ◽  
Gerardo Israel Perez Soto

Robotica ◽  
2009 ◽  
Vol 27 (3) ◽  
pp. 355-365 ◽  
Author(s):  
Goswami Dip ◽  
Vadakkepat Prahlad ◽  
Phung Duc Kien

SUMMARYThe inverse kinematics of a 12 degrees-of-freedom (DOFs) biped robot is formulated in terms of certain parameters. The biped walking gaits are developed using the parameters. The walking gaits are optimized using genetic algorithm (GA). The optimization is carried out considering relative importance of stability margin and walking speed. The stability margin depends on the position of zero-moment-point (ZMP) while walking speed varies with step-size. The ZMP is computed by an approximation-based method which does not require system dynamics. The optimal walking gaits are experimentally realized on a biped robot.


2002 ◽  
Vol 38 (2) ◽  
pp. 119-128 ◽  
Author(s):  
G. Capi ◽  
S. Kaneko ◽  
K. Mitobe ◽  
L. Barolli ◽  
Y. Nasu

Robotica ◽  
1997 ◽  
Vol 15 (6) ◽  
pp. 599-607 ◽  
Author(s):  
Ching-Long Shih

In this paper, the realization of biped walking on even floor, sloping surfaces, and stairs is studied. The motion trajectories for the biped's body and its two feet are modeled by piecewise cubic polynomials. The main features of the biped robot include two variable-length legs and a moving weight which can be positioned side-to-side for balance. The contribution of this paper is gait synthesis and is experimental verification.


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