Adaptation of Flipper-Mud Interactions Enables Effective Terrestrial Locomotion on Muddy Substrates

IF 4.6 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2023-10-09 DOI:10.1109/LRA.2023.3323123
Shipeng Liu;Boyuan Huang;Feifei Qian
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Abstract

Moving on natural muddy terrains, where soil composition and water content vary significantly, is complex and challenging. To understand how mud properties and robot-mud interaction strategies affect locomotion performance on mud, we study the terrestrial locomotion of a mudskipper-inspired robot on synthetic mud with precisely-controlled ratios of sand, clay, and water. We observed a non-monotonic dependence of the robot speed on mud water content. Robot speed was the largest on mud with intermediate levels of water content (25%–26%), but decreased significantly on higher or lower water content. Measurements of mud reaction force revealed two distinct failure mechanisms. At high water content, the reduced mud shear strength led to a large slippage of robot appendages and a significantly reduced step length. At low water content, the increased mud suction force caused appendage entrapment, resulting in a large negative displacement in the robot body during the swing phase. A simple model successfully captured the observed robot performance, and informed adaptation strategies that increased robot speed by more than 200%. Our study is a beginning step to extend robot mobility beyond simple substrates towards a wider range of complex, heterogeneous terrains.
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Flipper-Mud相互作用的适应使陆地能够在泥泞的基底上进行有效的运动
在土壤成分和含水量变化很大的天然泥泞地形上移动是复杂而具有挑战性的。为了了解泥浆特性和机器人泥浆交互策略如何影响泥浆上的运动性能,我们研究了一个受弹涂鱼启发的机器人在沙子、粘土和水的比例精确控制的合成泥浆上的地面运动。我们观察到机器人速度对泥浆水含量的非单调依赖性。在含水量中等(25%-26%)的泥浆中,机器人速度最大,但在含水量较高或较低的泥浆中速度显著下降。泥浆反作用力的测量揭示了两种不同的失效机制。在高含水量下,泥浆剪切强度的降低导致机器人附件的大幅滑动和步长的显著缩短。在低含水量条件下,泥浆吸力的增加会导致附肢被截留,导致机器人在摆动阶段产生较大的负位移。一个简单的模型成功地捕捉到了观察到的机器人性能,并提供了自适应策略,使机器人速度提高了200%以上。我们的研究是将机器人的机动性从简单的基底扩展到更广泛的复杂、异质地形的开始。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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