Body levelling of a hexapod robot using the concept of sensor fusion

C. Copot, C. Ionescu, R. D. De Keyser
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引用次数: 3

Abstract

Contrary to their wheeled counterpart, multi-legged robots are capable of easily changing their body posture through reconfiguration of the legs (i.e. inclination or posture control). This capability is exploited in the paper at hand to level out a six-legged robot when placed on a plain slope with adjustable inclination. By extension such inclination control could then be used to let the legged robot mount plain slopes with its body horizontally which greatly benefits the way the robot absorbs the load posed on its mechanics. The implemented body levelling algorithm uses the hexapod's forward and inverse kinematic model, basic geometry, and the Cartesian plane equation to calculate the leg tip displacements able of counteracting the fused orientation data obtained from an inertial measurement unit (IMU). Experimental results show the approach to be successful, although the speed of the levelling process leaves room for improvement. To address the latter a more powerful processing unit and/or, more importantly, a simpler redesign of the legs is advised.
利用传感器融合的概念实现六足机器人的身体调平
与轮式机器人不同,多腿机器人能够通过腿部的重新配置(即倾斜或姿势控制)轻松改变身体姿势。当放置在倾斜可调的平坡上时,这种能力被利用在手边的论文中。通过扩展,这种倾斜控制可以用来让有腿的机器人用它的身体水平地爬上平原斜坡,这极大地有利于机器人吸收施加在其机械上的载荷。所实现的体调平算法使用六足机构的正运动学和逆运动学模型、基本几何和笛卡尔平面方程来计算能够抵消由惯性测量单元(IMU)获得的融合方向数据的腿尖位移。实验结果表明,该方法是成功的,尽管整平过程的速度还有改进的余地。为了解决后者的问题,建议采用更强大的处理单元和/或更重要的是,对腿进行更简单的重新设计。
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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