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Flexible Robotic Spine Actuated by Shape Memory Alloy

Shiquan Wang, Qiuguo Zhu, Rong Xiong, Jian Chu

Year
2014
Citations
11

Abstract

A flexible robotic spine actuated by shape memory alloy (SMA) can achieve both bending motion and impact absorption, which will allow robots to realize a variety of postures. In this paper, the robotic spine is designed and simplified into a multi-segment dynamic model based on several verified assumptions. The SMA wire is modelled using the Seelecke-Muller-Acenbach theory. An iterative algorithm is developed to address the external forces distributed along the spine and compute the spine's bending angle. Based on the dynamic model, we improve the simulation structure and search algorithm to achieve good efficiency and stable solutions. Experiments are conducted to verify the simulation and the results fit the simulation prediction well, with error of less than five degrees. Design optimization with our simulation tool based on several parameters is also discussed in this paper.

Keywords

Computer scienceSMA*Shape-memory alloyBendingRobotSimulationArtificial intelligenceAlgorithmStructural engineering

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