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
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