Caterpillar-Inspired Multi-Gait Generation Method for Series-Parallel Hybrid Segmented Robot.

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY Biomimetics Pub Date : 2024-12-11 DOI:10.3390/biomimetics9120754
Mingyuan Dou, Ning He, Jianhua Yang, Lile He, Jiaxuan Chen, Yaojiumin Zhang
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Abstract

The body structures and motion stability of worm-like and snake-like robots have garnered significant research interest. Recently, innovative serial-parallel hybrid segmented robots have emerged as a fundamental platform for a wide range of motion modes. To address the hyper-redundancy characteristics of these hybrid structures, we propose a novel caterpillar-inspired Stable Segment Update (SSU) gait generation approach, establishing a unified framework for multi-segment robot gait generation. Drawing inspiration from the locomotion of natural caterpillars, the segments are modeled as rigid bodies with six degrees of freedom (DOF). The SSU gait generation method is specifically designed to parameterize caterpillar-like gaits. An inverse kinematics solution is derived by analyzing the forward kinematics and identifying the minimum lifting segment, framing the problem as a single-segment end-effector tracking task. Three distinct parameter sets are introduced within the SSU method to account for the stability of robot motion. These parameters, represented as discrete hump waves, are intended to improve motion efficiency during locomotion. Furthermore, the trajectories for each swinging segment are determined through kinematic analysis. Experimental results validate the effectiveness of the proposed SSU multi-gait generation method, demonstrating the successful traversal of gaps and rough terrain.

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基于毛毛虫的串并联混合分段机器人多步态生成方法。
蠕虫状和蛇形机器人的身体结构和运动稳定性引起了人们的极大兴趣。近年来,新型的串并联混合分段机器人已成为广泛运动模式的基本平台。针对这些混合结构的超冗余特性,提出了一种基于毛毛虫的稳定段更新(SSU)步态生成方法,建立了多段机器人步态生成的统一框架。从自然毛虫的运动中汲取灵感,这些部分被建模为具有六个自由度(DOF)的刚体。SSU步态生成方法专门用于参数化类毛毛虫步态。通过对正运动学的分析,确定最小提升段,推导出逆运动学解,将该问题视为单段末端执行器跟踪任务。在SSU方法中引入了三个不同的参数集来解释机器人运动的稳定性。这些参数,表示为离散的驼峰波,旨在提高运动时的运动效率。此外,通过运动学分析确定了每个摆动段的运动轨迹。实验结果验证了所提出的SSU多步态生成方法的有效性,证明了该方法能够成功地穿越间隙和崎岖地形。
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来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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