Dynamic Analysis of the Locomotion Mechanism in Foxtail Robots: Frictional Anisotropy and Bristle Diversity

This study investigated the locomotion mechanism of foxtail robots, focusing on the frictional anisotropy of tilted bristles under the same friction coefficient and propulsion strategy using bristle diversity. Through dynamic analysis and simulations, we confirmed the frictional anisotropy of tilted...

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Bibliographic Details
Published in:Biomimetics (Basel, Switzerland) Switzerland), 2024-05, Vol.9 (6), p.311
Main Authors: Lee, Jaegak, Jeong, Hyemi, Kim, Taehyun, Yang, Hyunseok
Format: Article
Language:English
Subjects:
Adaptability
Analysis
Anisotropy
biomimatic robot
Body height
bristle robot
Bristles
Forecasts and trends
Friction
frictional anisotropy
Locomotion
Ordinary differential equations
Physical properties
Principles
Product development
Robotics
Robots
Simulation
soft robotics
Values
Variables
Vibration
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Summary:This study investigated the locomotion mechanism of foxtail robots, focusing on the frictional anisotropy of tilted bristles under the same friction coefficient and propulsion strategy using bristle diversity. Through dynamic analysis and simulations, we confirmed the frictional anisotropy of tilted bristles and elucidated the role of bristle diversity in generating propulsive force. The interaction between contact nonuniformity and frictional anisotropy was identified as the core principle enabling foxtail locomotion. Simulations of foxtail robots with multiple bristles demonstrated that variations in bristle length, angle, and deformation contribute to propulsive force generation and environmental adaptability. In addition, this study analyzed the influence of major design parameters on frictional anisotropy, highlighting the critical roles of body height, bristle length, stiffness, reference angle, and friction coefficient. The proposed guidelines for designing foxtail robots emphasize securing bristle nonuniformity and inducing contact nonuniformity. The simulation framework presented enables the quantitative prediction and optimization of foxtail robot performance. This research provides valuable insights into foxtail robot locomotion and lays a foundation for the development of efficient and adaptive next-generation robots for diverse environments.
ISSN:2313-7673
2313-7673
DOI:10.3390/biomimetics9060311