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Visual Homing of an Upper Torso Humanoid Robot Using a Depth Camera

机译:使用深度相机的上躯干人形机器人的视觉归巢

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We present a system which can automatically home an upper torso humanoid robot so that its true joint angles are known using only information from a depth camera, coupled with incremental encoders. This means that extra components, such as absolute encoders, resolvers, homing switches etc., are not needed. This in turn means that the cost of the system may be reduced and reliability improved as potential component failures are eliminated. The system uses exploratory moves to locate the robot’s end effector and to measure the pose of the robot’s wrist frame in camera space. Multiple measurements of the wrist frame pose are combined together in a kinematic calibration step to obtain the true joint angles and thus home the robot. We conduct experiments to explore the accuracy and reliability of our homing system, both in simulation and on a physical robotic platform.
机译:我们展示了一个系统,它可以自动回家上躯干人形机器人,使得其真正的​​关节角度仅使用来自深度相机的信息,与增量编码器耦合。这意味着不需要额外的组件,例如绝对编码器,分辨者,归位交换机等。这又意味着可以减少系统的成本并且随着潜在的组件故障被改善而被淘汰。系统使用探索性移动来定位机器人的末端执行器,并测量机器人的腕部框架在相机空间中的姿势。在运动校准步骤中将腕框姿势的多次测量组合在一起,以获得真正的关节角度,从而获得机器人。我们进行实验,探讨讨论和物理机器人平台的归巢系统的准确性和可靠性。

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