四足机器人柔性踝关节自适应平面足与多模态传感

Guowei Shi, Chen Yao, Wenhui Wang, Zheng Zhu, Zhenzhong Jia
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引用次数: 1

摘要

一种能够适应凹凸不平地形并具有接触状态感知能力的自适应传感机器人足是实现探测任务中足式运动的关键。受四足动物的启发,我们提出了一种具有大接触面积的自适应平面足,以减少下沉,两自由度(2-DOF)柔性踝关节,以更好地适应地形,足内多模态传感能力。我们提出用编码器代替IMU测量踝关节角度的定制踝关节设计,以减轻大冲击力带来的噪音。脚还根据脚柄相对方向和6轴力/扭矩传感器数据提供准确的估计力。我们开发了一种四足机器人的控制算法,并通过仿真测试了它的性能。包括足部方向估计、摆动灵敏度和力感知在内的现实世界实验验证了我们的机器人足部适合动态四足运动。
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Adaptive Planar Foot with Compliant Ankle Joint and Multi-modal Sensing for Quadruped Robots
An adaptive sensorized robot foot that can adapt to uneven and rough terrains and have contact state sensing capability is vital for legged locomotion in exploration missions. Inspired by quadruped animals, we present an adaptive planar foot with large contact area to reduce sinkage, two degrees of freedom (2-DOF) compliant ankle joint for better terrain adaptation, in-foot multi-modal sensing capability. We propose customized ankle design with encoders instead of IMU for ankle joint angle measurement, in order to mitigate the noise injected by large impact forces. The foot also provides an accurate estimated force according to foot-shank relative orientation and the 6-axis force/torque sensor data. We develop a control algorithm for a quadruped robot equipped with our proposed robot feet and test its performance through simulation. Real-world experiments including foot orientation estimation, swing sensitivity, and force perception verify that our robot foot is suitable for dynamic quadruped locomotion.
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