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On-Range Sensor Feedback for Mobile Robot Docking Within Prescribed Posture Tolerances

机译:在规定的姿态公差范围内用于移动机器人对接的远程传感器反馈

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The problem addressed is feedback from noncontact sensing for guiding robots during docking and gripping. The sensor used is a "range camera" onboard a mobile robot (MRb). To specify the docking task completely both the posture (position/orientation) and the required tolerances must be given. These tolerances are then used in the feedback control loop during docking. The algorithms are divided into three parts: the extraction of posture parameters from the "range camera," dynamic filtering for finding association gates and protecting the system against spuriousness in the measurements, and finally a feedback controller. The feedback controller is separated into geometric control and tolerance control. The geometric control uses a range varying LQG-designed feedback control law to generate the trajectories toward the object. The tolerance control adjusts the approach velocity so that the robot is given a sufficient number of observations and control cycles to meet the required tolerances. Thus, during the approach there is a conditional re-planning of the trajectory. For simplicity, only three kinematic state variables (x, y, θ) are used for the MRb. Gripping using an industrial robot (IRb) is an equivalent problem. Successful experiments were made with range resolution varying more than a factor of 50. Thus, the resolution volume in the (x, y, θ)-space varied by several orders of magnitude during the tests. The final errors in range and orientation are essentially limited by the resolution in the "range camera." A persistent conclusion from the experiments is the importance of correct association between the range measurements and the corresponding parts of the object.
机译:解决的问题是非接触感测的反馈,用于在对接和抓握过程中引导机器人。使用的传感器是移动机器人(MRb)上的“范围摄像机”。为了完全指定对接任务,必须同时给出姿势(位置/方向)和所需的公差。然后在对接期间将这些公差用于反馈控制回路中。该算法分为三个部分:从“测距相机”中提取姿势参数,用于找到关联门并保护系统免受测量中的虚假影响的动态滤波,最后是一个反馈控制器。反馈控制器分为几何控制和公差控制。几何控制使用范围可变的LQG设计的反馈控制律来生成朝向对象的轨迹。公差控制可调整进近速度,以便为机器人提供足够的观察和控制周期,以满足所需的公差。因此,在进近过程中,有条件地重新规划了轨迹。为简单起见,仅三个运动状态变量(x,y,θ)用于MRb。使用工业机器人(IRb)进行抓取是一个等效的问题。进行了成功的实验,距离分辨率变化超过50倍。因此,在测试期间,(x,y,θ)空间中的分辨率体积变化了几个数量级。距离和方向的最终误差基本上受“距离相机”中分辨率的限制。实验得出的一个持久结论是,距离测量值与物体对应部分之间正确关联的重要性。

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