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Proprioceptive control of an over-actuated hexapod robot in unstructured terrain

机译:非结构化地形中过度驱动的六足机器人的本体感控制

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Legged robots such as hexapods have the potential to traverse unstructured terrain. This paper introduces a novel hexapod robot (Weaver) using a hierarchical controller, with the ability to efficiently traverse uneven and inclined terrain. The robot has five joints per leg and 30 degrees of freedom overall. The two redundant joints improve the locomotion of the robot by controlling the body pose and the leg orientation with respect to the ground. The impedance controller in Cartesian space reacts to unstructured terrain and thus achieves self-stabilizing behavior without prior profiling of the terrain through exteroceptive sensing. Instead of adding force sensors, the force at the foot tip is calculated by processing the current signals of the actuators. This work experimentally evaluates Weaver with the proposed controller and demonstrates that it can effectively traverse challenging terrains and high gradient slopes, reduce angular movements of the body by more than 55% and reduce the cost of transport (up to 50% on uneven terrain and by 85% on a slope with 20 °). The controller also enables Weaver to walk up inclines of up to 30 °, and remain statically stable on inclines up to 50 °. Furthermore, we present a new metric for legged robot stability performance along with a method for proprioceptive terrain characterization.
机译:六角形等腿的机器人有可能遍历非结构化的地形。本文介绍了一种新颖的Hexapod机器人(Weaver),使用分层控制器,能够有效地遍历不均匀和倾斜的地形。机器人每条腿有五个关节,整体自由30度。两个冗余的关节通过控制身体姿势和腿取向相对于地面来改善机器人的运动。笛卡尔空间中的阻抗控制器对非结构化的地形反应,从而实现了通过避开感测到地形的未突出的自稳定行为。通过处理致动器的电流信号来计算脚尖处的力而不是添加力传感器。这项工作通过提出的控制器进行了实验评估了韦弗,并证明它可以有效地遍历具有挑战性的地形和高梯度斜坡,减少了体内运动的55%以上,降低了运输成本(在不均匀的地形上最高50%坡度为85%,20°)。控制器还使WEAVER能够向上移动最多30°的倾斜度,并且在高达50°的倾斜度上保持静态稳定。此外,我们提出了一种新的公制,用于腿部机器人稳定性性能以及用于预测地形表征的方法。

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