Zero-moment point trajectory modelling of a biped walking robot using an adaptive neuro-fuzzy system

2005 ◽  
Vol 152 (4) ◽  
pp. 411-426 ◽  
Author(s):  
D. Kim ◽  
G.-T. Park ◽  
S.-J. Seo
Author(s):  
Dongwon Kim ◽  
Nak-Hyun Kim ◽  
Sam-Jun Seo ◽  
Gwi-Tae Park

Robotica ◽  
2005 ◽  
Vol 24 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Hyeung-Sik Choi ◽  
Yong-Heon Park

We developed a new type of a human-sized BWR (biped walking robot) driven by the closed-chain type of a joint actuator. Each leg of the BWR is composed of three pitch joints and one roll joint. In all, a 12 degree-of-freedom robot, including four arm joints, was developed. The BWR was designed to walk autonomously; it is actuated by small 90W DC motors/drivers and is has DC batteries and controllers. A new type of the joint actuator for the BWR is composed of the four-bar-link mechanism driven by a ball screw which has high strength and high gear ratio despite its light weight.In this paper, analyses on the four-bar-link mechanism applied to the joint actuator and on the structure of the BWR are presented. Through walking experiments of the BWR, the superior trajectory-tracking ability of the proposed joint actuator is validated.


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