双足机器人参数步态中相位变量的去除。

Alireza Mohammadi, Jonathan Horn, Robert D Gregg
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引用次数: 3

摘要

混合零动力学控制是一种很有前途的控制框架,用于控制欠驱动双足机器人和动力假肢。在该控制范式中,稳定步行步态隐式编码为机器人构型变量的多项式输出函数,并通过反馈将其归零。两足输出函数由合适的机械相位变量参数化,该变量的演化决定了两足每一步的步态进程。然而,确定适当的相位变量可能并不总是一项微不足道的任务。在本文中,我们提出了一种从给定的参数步行步态生成输出函数的方法,而不需要任何明确的相位变量知识。我们的消去方法是基于计算多项式的结果,这是一种广泛应用于计算机代数的代数工具。
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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Removing Phase Variables from Biped Robot Parametric Gaits.

Hybrid zero dynamics-based control is a promising framework for controlling underactuated biped robots and powered prosthetic legs. In this control paradigm, stable walking gaits are implicitly encoded in polynomial output functions of the robot configuration variables, which are to be zeroed via feedback. The biped output functions are parameterized by a suitable mechanical phasing variable whose evolution determines the biped gait progression during each step. Determining a proper phase variable, however, might not always be a trivial task. In this paper, we present a method for generating output functions from given parametric walking gaits without any explicit knowledge of the phase variables. Our elimination method is based on computing the resultant of polynomials, an algebraic tool widely used in computer algebra.

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Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. Toward Phase-Variable Control of Sit-to-Stand Motion with a Powered Knee-Ankle Prosthesis. Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor. Automatic Tuning of Virtual Constraint-Based Control Algorithms for Powered Knee-Ankle Prostheses. Removing Phase Variables from Biped Robot Parametric Gaits.
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