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A Comparison of Remote Robot Teleoperation Interfaces for General Object Manipulation

机译:通用对象操纵的远程机器人遥操作接口的比较

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Robust remote teleoperation of high-DOF manipulators is of critical importance across a wide range of robotics applications. Contemporary robot manipulation interfaces primarily utilize a free-positioning pose specification approach to independently control each axis of translation and orientation in free space. In this work, we present two novel interfaces, constrained positioning and point-and-click, which incorporate scene information, including points-of-interest and local surface geometry, into the grasp specification process. We also present results of a user study evaluation comparing the effects of increased use of scene information in grasp pose specification algorithms for general object manipulation. The results of our study show that constrained positioning and point-and-click significantly outperform the widely used free positioning approach by significantly reducing the number of grasping errors and the number of user interactions required to specify poses. Furthermore, the point-and-click interface significantly increased the number of tasks users were able to complete.
机译:在各种机器人应用中,高自由度机械手的强大远程遥控至关重要。当代的机器人操纵界面主要利用自由定位姿势指定方法来独立控制自由空间中的每个平移和定向轴。在这项工作中,我们提出了两个新颖的界面,即受约束的定位和点击,将场景信息(包括兴趣点和局部表面几何形状)合并到抓取规范过程中。我们还提出了一项用户研究评估的结果,该结果比较了在通用对象操纵的抓握姿势指定算法中增加使用场景信息的效果。我们的研究结果表明,受约束的定位和点击可通过显着减少抓取错误的次数和指定姿势所需的用户交互次数,明显优于广泛使用的自由定位方法。此外,点击界面大大增加了用户能够完成的任务数量。

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