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Cylindrical Terrain Classification Using a Compliant Robot Foot with a Flexible Tactile-Array Sensor for Legged Robots

机译:使用腿式机器人的柔顺触觉阵列传感器使用柔顺的机器人脚进行圆柱地形分类

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摘要

In this paper, we present a new approach that uses a combination of a compliant robot foot with a flexible tactile-array sensor to classify different types of cylindrical terrains. The foot and sensor were installed on a robot leg. Due to their compliance and flexibility, they can passively adapt their shape to the terrains and simultaneously provide pressure feedback during walking. We applied two different methods, which are average and maximum value methods, to classify the terrains based on the feedback information. To test the approach, We performed two experimental conditions which are (1) different diameters and different materials and (2) different materials with the same cylindrical diameter. In total, we use here eleven cylindrical terrains with different diameters and materials (i.e., a 8.2-cm diameter PVC cylinder, a 7.5-cm diameter PVC cylinder, a 5.5-cm diameter PVC cylinder, a 4.4-cm diameter PVC cylinder, a 7.5-cm diameter hard paper cylinder, a 7.4-cm diameter hard paper cylinder, a 5.5-cm diameter hard paper cylinder, a 20-cm diameter sponge cylinder, a 15-cm diameter sponge cylinder, a 7.5-cm diameter sponge cylinder, and a 5.5-cm diameter sponge cylinder) . The experimental results show that we can successfully classify all terrains for the maximum value method. This approach can be applied to allow a legged robot to not only walk on cylindrical terrains but also recognize the terrain feature. It thereby extends the operational range the robot towards cylinder/pipeline inspection.
机译:在本文中,我们提出了一种新方法,该方法将顺应性机器人脚与灵活的触觉阵列传感器结合使用,以对不同类型的圆柱地形进行分类。脚和传感器安装在机器人的腿上。由于它们的柔韧性和灵活性,它们可以被动地适应地形,并在步行过程中同时提供压力反馈。我们使用两种不同的方法(平均值和最大值方法)根据反馈信息对地形进行分类。为了测试该方法,我们执行了两个实验条件,即(1)不同的直径和不同的材料,以及(2)具有相同圆柱直径的不同材料。总共,我们在这里使用了11个具有不同直径和材质的圆柱地形(例如,直径为8.2厘米的PVC圆柱,直径为7.5厘米的PVC圆柱,直径为5.5厘米的PVC圆柱,直径为4.4厘米的PVC圆柱,直径7.5厘米的硬纸圆筒,直径7.4厘米的硬纸圆筒,直径5.5厘米的硬纸圆筒,直径20厘米的海绵圆筒,直径15厘米的海绵圆筒,直径7.5厘米的海绵圆筒,和直径为5.5厘米的海绵缸)。实验结果表明,我们可以成功地将所有地形分类为最大值方法。这种方法可以应用到让有腿机器人不仅可以在圆柱形地形上行走,而且可以识别地形特征。因此,它将机器人的工作范围扩展到了汽缸/管道检查。

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