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Experimentally Verified Optimal Serpentine Gait and Hyperredundancy of a Rigid-Link Snake Robot

机译:经过实验验证的刚性链蛇形机器人的最佳蛇形步态和超冗余

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In this study, we examine, for a six-link snake robot, how an optimal gait might change as a function of the snake--surface interaction model and how the overall locomotion performance changes under nonoptimal conditions such as joint failure. Simulations are evaluated for three different types of friction models, and it is shown that the gait parameters for serpentine motion are very dependant on the frictional model if minimum power expenditure is desired for a given velocity. Experimental investigations then motivate a surface interaction model not commonly used in snake locomotion studies. Using this new model, simulation results are compared to experiments for nominal and nonnominal locomotion cases including actuator faults. It is shown that this model quite accurately predicts locomotion velocities and link profiles, but that the accuracy of these predictions degrades severely at speeds where actuator dynamics become significant.
机译:在本研究中,我们研究了六连杆蛇机器人的最佳步态如何根据蛇-表面相互作用模型而变化以及在非最佳条件下(例如关节衰竭)整体运动性能如何变化。对三种不同类型的摩擦模型进行了仿真评估,结果表明,如果需要给定速度的最小功率消耗,则蛇形运动的步态参数非常依赖于摩擦模型。然后,实验研究激发了蛇活动研究中不常用的表面相互作用模型。使用该新模型,将模拟结果与包括执行器故障在内的名义和非名义运动情况的实验进行了比较。结果表明,该模型可以非常准确地预测运动速度和连杆轮廓,但是在执行器动力学变得非常重要的速度下,这些预测的准确性会大大降低。

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