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Title
Japanese: 
English:Soft Tensegrity Robot Driven by Thin Artificial Muscles for the Exploration of Unknown Spatial Configurations 
Author
Japanese: 小林亮太, 難波江裕之, 遠藤玄, 鈴森康一.  
English: Ryota Kobayashi, Hiroyuki Nabae, Gen Endo, Koichi Suzumori.  
Language English 
Journal/Book name
Japanese: 
English:IEEE Robotics and Automation Letters 
Volume, Number, Page Volume 7    Issue 2    Page 5349-5356
Published date Feb. 23, 2022 
Publisher
Japanese: 
English:IEEE 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
File
Official URL https://ieeexplore.ieee.org/document/9720228
 
DOI https://doi.org/10.1109/LRA.2022.3153700
Abstract The primary role of a robot exploring an unknown space is to investigate the state and the spatial shape of the environment. We have designed a soft robot that aims to move forward in an unknown space as it recognizes and adapts to the spatial shape of the environment. We previously reported that soft tensegrity and recurrent neural networks can be used to realize tensegrity structure shape recognition. In this study, a tensegrity robot was designed to actively generate propulsive force as it presses its body against a wall in its surrounding environment. This robot design includes a novel artificial muscle arrangement called "4/3 muscle winding," which induces large deformation in the tensegrity structure. The application of this new artificial muscle arrangement allows two types of large deformations to be induced in the tensegrity structure, which results in displacements of 20% to 40% in the axial and radial directions. We have demonstrated that the robot, which was created by connecting the tensegrity structures, is lightweight and possesses passive shape adaptability in a three-dimensional environment. This tensegrity robot could enter an unknown space, such as a cave, and recognize the spatial shape of the surrounding environment by recognizing the tensegrity structure shape.

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