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A proprioceptive DE sensor skin for a fish-like continuum robot

机译:用于鱼类的连续元机器人的Broprioceptive de传感器皮肤

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The superior swimming ability of fish has encouraged the development of fish-like robots. To fully capture fish swimming kinematics a continuum under-actuated robot can be used, and there are many examples of such robots in the literature. But for realistic fish-like swimming in strong currents such robots will benefit from closed-loop feedback. We demonstrate how this can be achieved, underwater, using a stretchy neoprene sensing skin with embedded, discrete dielectric elastomer stretch sensors. The latest prototype skin, with 8 sensors, 4 on each side, is currently being evaluated on an underactuated tensegrity fish-like robot driven by a stepper motor. Carangiform movement of the body has been characterized using cameras and this data has been compared with a virtual model of the robot that uses sensor input for real-time model kinematic data. Four angles along the body defined the shape. A root mean square error between model and true camera angles of less than 3° was calculated for realistic cangiform motion at 0.5 Hz tail frequency.
机译:Fish的优越游泳能力鼓励了鱼类机器人的发展。为了完全捕捉鱼类游泳运动学,可以使用连续官能的机器人,并且在文献中存在许多这种机器人的示例。但是对于逼真的鱼类游泳,在强大的电流中,这种机器人将从闭环反馈中受益。我们展示了如何在水下可以实现这种情况,使用带有嵌入的离散介电弹性体拉伸传感器的弹性氯丁橡胶传感皮肤。最新的原型皮肤,每侧有8个传感器,目前正在评估由步进电机驱动的欠扰动的硬质鱼类机器人。身体的碳型移动已经使用相机表征,并且将该数据与机器人的虚拟模型进行了比较,该机器人使用传感器输入进行实时模型运动数据。沿着身体的四个角度限定了形状。在0.5Hz尾频率下计算型号和真正摄像机角度低于3°之间的均方根误差。

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