DocumentCode
1768362
Title
Dynamic analysis of the spinal-pelvic motion match during feline galloping for speed increase into quadruped robotic system
Author
Young Kook Kim ; Jongwon Park ; Byungho Yoon ; Kyung-Soo Kim ; Soohyun Kim
Author_Institution
Robot. Program, Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
1294
Lastpage
1298
Abstract
In terms of the speed performance in feline galloping, relative spinal motion is observed as a key role to increase the locomotion speed. In order to prove this, a domestic cat was observed to investigate galloping gait patterns of the feline. Based on the measurement of the dynamic behavior of a domestic cat, we observed a significant increase in speed through correlated angular rate changes of spinal segments. To support the motion into a quadruped system, the hindlimb stance phase was analyzed using a 2 dimensional planar dynamic model to verify that the external torque generated by spinal motion plays an important role in increasing the ground reaction force in the direction of movement. To verify the analysis, the dynamic simulation demonstrating the hindlimb stance was applied with 3 parameter variations: time, phase and the amplitude of the fitted relative angular velocity profile.
Keywords
angular velocity; force; gait analysis; legged locomotion; torque; 2-dimensional planar dynamic model; Dynamic analysis; dynamic behavior; dynamic simulation; feline galloping gait patterns; hindlimb stance phase; locomotion speed; quadruped robotic system; relative angular velocity profile; relative spinal motion; spinal segments; spinal-pelvic motion match; Minimization; Robots; TV; Feline galloping; Quadruped Robot; Relative Spinal motion; Speed Increase;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location
Seoul
ISSN
2093-7121
Print_ISBN
978-8-9932-1506-9
Type
conf
DOI
10.1109/ICCAS.2014.6987756
Filename
6987756
Link To Document