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A Quasi-Elliptic Foot Trajectory Planning Approach Based on the Stochastic Linear Complementarity Problem for Electrical Quadruped Robots

机译:基于随机线性互补问题的四足机器人准椭圆足轨迹规划方法

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Energy efficiency has been the focus of the quadruped robots since the appearance of this field. Most approaches have focused on the quadrupedal mechanisms or the actuation like series elastic actuation (SEA). This work aims to develop an optimal energy efficiency method to plan a quasi-elliptic motion trajectory for the quadruped robots. The energy efficiency of the DC motors in the electric quadruped robot is formulated as an optimization problem. The Stochastic Linear Complementarity Problem (SLCP) and sinusoidal pulse force are proposed to minimize the energy loss at the impact collisions. The stability and energy efficiency of the proposed algorithm is verified with the computer simulation.
机译:自从出现这一领域以来,能源效率就一直是四足机器人的关注焦点。大多数方法都集中在四足机构或类似串联弹性致动(SEA)的致动上。这项工作旨在开发一种最佳能效方法,以规划四足机器人的准椭圆运动轨迹。电动四足机器人中的直流电动机的能量效率被公式化为一个优化问题。提出了随机线性互补问题(SLCP)和正弦脉冲力,以最大程度地减少碰撞碰撞时的能量损失。通过计算机仿真验证了所提算法的稳定性和能效。

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