The generalized spring-loaded inverted pendulum model for analysis of various planar reduced-order models and for optimal robot leg design.

IF 3.1 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Wei-Chun Lu, Pei-Chun Lin
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引用次数: 0

Abstract

This paper proposes a generalized spring-loaded inverted pendulum (G-SLIP) model to explore various popular reduced-order dynamic models' characteristics and suggest a better robot leg design under specified performance indices. The G-SLIP model's composition can be varied by changing the model's parameters, such as ground contacting type and spring property. It can be transformed into four widely used models: the spring-loaded inverted pendulum (SLIP) model, the two-segment leg model, the SLIP with rolling foot model, and the rolling SLIP model. The effects of rolling contact and spring configuration on the dynamic behavior and fixed-point distribution of the G-SLIP model were analyzed, and the basins of attraction of the four described models were studied. By varying the parameters of the G-SLIP model, the dynamic behavior of the model can be optimized. Optimized for general locomotion running at various speeds, the model provided leg design guidelines. The leg was empirically fabricated and installed on the hexapod for experimental evaluation. The results indicated that the robot with a designed leg runs faster and is more power-efficient.

用于分析各种平面减阶模型和优化机器人腿设计的广义弹簧倒立摆模型。
本文提出了一种广义弹簧加载倒立摆(G-SLIP)模型,以探索各种流行的降阶动态模型的特性,并提出在特定性能指标下更好的机器人腿设计建议。G-SLIP 模型的组成可通过改变模型参数(如地面接触类型和弹簧特性)来实现。它可以转化为四种广泛使用的模型:弹簧加载倒立摆(SLIP)模型、两节腿(TSL)模型、带滚动脚的 SLIP(SLIP-RF)模型和滚动 SLIP(R-SLIP)模型。分析了滚动接触和弹簧配置对 G-SLIP 模型的动态行为和定点分布的影响,并研究了所述四种模型的吸引力盆地(BOA)。通过改变 G-SLIP 模型的参数,可以优化模型的动态行为。该模型针对以不同速度运行的一般运动进行了优化,为腿部设计提供了指导。根据经验制作了支腿,并安装在六足机器人上进行实验评估。结果表明,带有设计腿的机器人运行速度更快,能效更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinspiration & Biomimetics
Bioinspiration & Biomimetics 工程技术-材料科学:生物材料
CiteScore
5.90
自引率
14.70%
发文量
132
审稿时长
3 months
期刊介绍: Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology. The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: Systems, designs and structure Communication and navigation Cooperative behaviour Self-organizing biological systems Self-healing and self-assembly Aerial locomotion and aerospace applications of biomimetics Biomorphic surface and subsurface systems Marine dynamics: swimming and underwater dynamics Applications of novel materials Biomechanics; including movement, locomotion, fluidics Cellular behaviour Sensors and senses Biomimetic or bioinformed approaches to geological exploration.
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