多模态足式机器人平台上通用三维ZMP轨迹优化算法的实现

Joshua Hooks, D. Hong
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引用次数: 11

摘要

本文提出了一种多功能轻型机器人系统,即具有运动和操纵能力的自主腿个人辅助机器人(ALPHRED)。此外,我们将2D零力矩点(ZMP)轨迹优化(TO)算法扩展到3D实现。以及将质心的加速度添加到to成本中,以便在具有不相交的支撑多边形的轨迹期间平滑机器人的运动。通过在多模态机器人平台上实现这种通用的TO算法,我们证明了许多不同形式的稳定运动和操作是可能的,包括0.7米/秒的动态小跑步态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a Versatile 3D ZMP Trajectory Optimization Algorithm on a Multi-Modal Legged Robotic Platform
This paper presents a multi-functioning light weight robotic system, the Autonomous Legged Personal Helper Robot with Enhanced Dynamics (ALPHRED), capable of both locomtion and manipulation. In addition, we extended a 2D zero moment point (ZMP) trajectory optimization (TO) algorithm to a 3D implementation. As well as adding the acceleration of the center of mass to the TO cost in order to smooth out the motion of the robot during trajectories with support polygons that do not intersect. By implementing this versatile TO algorithm on a multi-modal robotic platform we showed that many different forms of stable locomotion and manipulation were possible including a dynamic 0.7 m/s trot gait.
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