Theoretical Modeling and Experimental Analysis of a Pressure-Operated Soft Robotic Snake
Ming Luo, Mahdi Agheli, Çağdaş D. Önal
- 发表年份
- 2014
- 引用次数
- 134
摘要
For a mobile robot undergoing serpentine locomotion, an accurate dynamic model is a fundamental requirement for optimization, control, navigation, and learning algorithms. Such algorithms can be readily implemented for traditional rigid robots, but remain a challenge for nonlinear and low-bandwidth soft robotic systems. This article addresses the theoretical modeling of the dynamics of a pressure-operated soft snake robot. A general framework is detailed to solve the 2D modeling problem of a soft snake robot, which is applicable to most pressure-operated soft robots developed by a modular kinematic arrangement of bending-type fluidic elastomer actuators. The model is simulated using measured physical parameters of a soft snake robot prototype. The theoretical results are verified through a detailed comparison to locomotion experiments on a flat surface with measured frictional properties. Experimental results confirm that the proposed model describes the motion of the robot accurately.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002