DocumentCode :
2595155
Title :
Embodiment enables the spinal engine in quadruped robot locomotion
Author :
Zhao, Qian ; Nakajima, Kohei ; Sumioka, Hidenobu ; Yu, Xiaoxiang ; Pfeifer, Rolf
Author_Institution :
Dept. of Inf., Univ. of Zurich, Zurich, Switzerland
fYear :
2012
fDate :
7-12 Oct. 2012
Firstpage :
2449
Lastpage :
2456
Abstract :
The biological hypothesis of spinal engine states that locomotion is mainly achieved by the spine, while the legs may serve as assistance. Inspired by this hypothesis, a compliant, multiple degree-of-freedom, biologically-inspired spine has been embedded into a quadruped robot, named Kitty, which has no actuation on the legs. In this paper, we demonstrate how versatile behaviors (bounding, trotting, and turning) can be generated exclusively by the spine´s movements through dynamical interaction between the controller, the body, and the environment, known as embodiment. Moreover, we introduce information theoretic approach to quantitatively study the spine internal dynamics and its effect on the bounding gait based on three spinal morphologies. These three morphologies differ in the position of virtual spinal joint where the spine is easier to get bent. The experimental results reveal that locomotion can be enhanced by using the spine featuring a rear virtual spinal joint, which offers more freedom for the rear legs to move forward. In addition, the information theoretic analysis shows that, according to the morphological differences of the spine, the information structure changes. The relationship between the observed behavior of the robot and the corresponding information structure is discussed in detail.
Keywords :
information theory; legged locomotion; motion control; Kitty; biological hypothesis; biologically inspired spine; controller; dynamical interaction; information structure; information theoretic analysis; information theory; quadruped robot locomotion; rear virtual spinal joint; spinal engine; spinal morphology; spine internal dynamics; spine movements; Legged locomotion; Morphology; Robot kinematics; Robot sensing systems; Silicon; Spine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location :
Vilamoura
ISSN :
2153-0858
Print_ISBN :
978-1-4673-1737-5
Type :
conf
DOI :
10.1109/IROS.2012.6386048
Filename :
6386048
Link To Document :
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