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Director: A User Interface Designed for Robot Operation with Shared Autonomy

机译:Director:专为具有共享自主权的机器人操作而设计的用户界面

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摘要

Operating a high degree of freedom mobile manipulator, such as a humanoid, in a field scenario requires constant situational awareness, capable perception modules, and effective mechanisms for interactive motion planning and control. A well-designed operator interface presents the operator with enough context to quickly carry out a mission and the flexibility to handle unforeseen operating scenarios robustly. By contrast, an unintuitive user interface can increase the risk of catastrophic operator error by overwhelming the user with unnecessary information. With these principles in mind, we present the philosophy and design decisions behind Director-the open-source user interface developed by Team MIT to pilot the Atlas robot in the DARPA Robotics Challenge (DRC). At the heart of Director is an integrated task execution system that specifies sequences of actions needed to achieve a substantive task, such as drilling a wall or climbing a staircase. These task sequences, developed a priori, make online queries to automated perception and planning algorithms with outputs that can be reviewed by the operator and executed by our whole-body controller. Our use of Director at the DRC resulted in efficient high-level task operation while being fully competitive with approaches focusing on teleoperation by highly trained operators. We discuss the primary interface elements that comprise Director, and we provide an analysis of its successful use at the DRC.
机译:在现场场景中操作高自由度的移动机械手(例如人形机器人)需要持续的态势感知,有能力的感知模块以及用于交互运动计划和控制的有效机制。精心设计的操作员界面为操作员提供了足够的背景信息,可以快速执行任务,并且可以灵活地强大地处理无法预料的操作场景。相比之下,不直观的用户界面可能会通过向用户提供不必要的信息而增加灾难性操作员错误的风险。牢记这些原则,我们提出了Director背后的理念和设计决策-Director由MIT团队开发,用于在DARPA机器人挑战赛(DRC)中试用Atlas机器人。 Director的核心是集成的任务执行系统,该系统指定实现实质性任务所需的操作顺序,例如钻墙或爬楼梯。这些任务序列是根据先验开发的,可以对自动感知和计划算法进行在线查询,其输出可以由操作员查看并由我们的全身控制器执行。我们在DRC中使用Director可以实现高效的高级任务操作,同时与专注于由训练有素的操作员进行远程操作的方法完全竞争。我们讨论了构成Director的主要界面元素,并分析了其在DRC中的成功使用。

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  • 来源
    《Journal of Field Robotics》 |2017年第2期|262-280|共19页
  • 作者单位

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, United Kingdom;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge,Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

    John A. Paulson School of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge, Massachusetts 02138;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, Massachusetts 02139;

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