Whole-Body Motion and Landing Force Control for Quadrupedal Stair Climbing

Young Hun Lee, J. Koo, Hyoukryeol Choi, Y. Lee, Hyunyong Lee, Hansol Kang, Y. Kim, Jun Hyuk Lee, Luong Tin Phan, S. Jin, H. Moon
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引用次数: 10

Abstract

In this paper, we present a novel framework for quadrupedal stair climbing, which considers force interaction with stairs. For stable and robust climbing, a key issue is to avoid falling down on the stairs. From this point of view, control to minimize rate of change of angular momentum about Center of Mass (CoM) which is produced by ground reaction force (GRF) at contact of robot‘s foot is necessary. Using this approach, direct force-based Zero Moment Point (ZMP) for motion planning of the CoM and landing force control are implemented. The direct force-based ZMP method allows the robot to lift its foot with reduced possibility of tilting on the stairs, and the landing force control prevents instant increase of the moment by impact of the GRFs. In addition, terrain recognition to estimate parameters of the stairs and find proper footholds by vision system mounted on the robot is presented. Proposed framework is implemented to quadruped robot, AiDIN-VI, that has torque sensor at each joint, through experiments, capability of ascending several stairs including 3step stairs which have 21cm height (31% of its maximum leg length) and 26.5° inclination is validated.
四足爬楼梯的全身运动与落地力控制
在本文中,我们提出了一个新的四足爬楼梯框架,考虑了力与楼梯的相互作用。要想平稳有力地攀爬,关键是要避免在楼梯上摔倒。从这个角度来看,控制机器人足部接触处地面反作用力(GRF)产生的质心(CoM)角动量变化率最小化是必要的。利用该方法,实现了直接基于力的零力矩点(ZMP)的CoM运动规划和着陆力控制。直接基于力的ZMP方法允许机器人抬起脚,减少了在楼梯上倾斜的可能性,并且着陆力控制防止了grf冲击瞬间增加的力矩。此外,还提出了利用机器人视觉系统进行地形识别,估计楼梯的参数并找到合适的落脚点。将所提出的框架应用于四足机器人AiDIN-VI,该机器人的每个关节都有扭矩传感器,通过实验,验证了其爬楼梯的能力,包括3级楼梯,楼梯高度为21cm(最大腿长的31%),倾角为26.5°。
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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