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远程机器人遥操作的任务级创作

Task-Level Authoring for Remote Robot Teleoperation.

作者信息

Senft Emmanuel, Hagenow Michael, Welsh Kevin, Radwin Robert, Zinn Michael, Gleicher Michael, Mutlu Bilge

机构信息

Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, United States.

Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States.

出版信息

Front Robot AI. 2021 Sep 27;8:707149. doi: 10.3389/frobt.2021.707149. eCollection 2021.

Abstract

Remote teleoperation of robots can broaden the reach of domain specialists across a wide range of industries such as home maintenance, health care, light manufacturing, and construction. However, current direct control methods are impractical, and existing tools for programming robot remotely have focused on users with significant robotic experience. Extending robot remote programming to end users, i.e., users who are experts in a domain but novices in robotics, requires tools that balance the rich features necessary for complex teleoperation tasks with ease of use. The primary challenge to usability is that novice users are unable to specify complete and robust task plans to allow a robot to perform duties autonomously, particularly in highly variable environments. Our solution is to allow operators to specify shorter sequences of high-level commands, which we call task-level authoring, to create periods of variable robot autonomy. This approach allows inexperienced users to create robot behaviors in uncertain environments by interleaving exploration, specification of behaviors, and execution as separate steps. End users are able to break down the specification of tasks and adapt to the current needs of the interaction and environments, combining the reactivity of direct control to asynchronous operation. In this paper, we describe a prototype system contextualized in light manufacturing and its empirical validation in a user study where 18 participants with some programming experience were able to perform a variety of complex telemanipulation tasks with little training. Our results show that our approach allowed users to create flexible periods of autonomy and solve rich manipulation tasks. Furthermore, participants significantly preferred our system over comparative more direct interfaces, demonstrating the potential of our approach for enabling end users to effectively perform remote robot programming.

摘要

机器人的远程遥操作可以扩大领域专家在家庭维护、医疗保健、轻型制造和建筑等广泛行业中的覆盖范围。然而,当前的直接控制方法并不实用,现有的远程编程工具主要面向有丰富机器人操作经验的用户。将机器人远程编程扩展到终端用户,即那些在某个领域是专家但在机器人技术方面是新手的用户,需要工具在复杂遥操作任务所需的丰富功能与易用性之间取得平衡。可用性的主要挑战在于新手用户无法指定完整且稳健的任务计划,以使机器人能够自主履行职责,尤其是在高度可变的环境中。我们的解决方案是允许操作员指定较短的高级命令序列,我们称之为任务级创作,以创建不同程度的机器人自主性。这种方法允许缺乏经验的用户通过将探索、行为规范和执行作为单独步骤交错进行,在不确定的环境中创建机器人行为。终端用户能够分解任务规范并适应交互和环境的当前需求,将直接控制的反应性与异步操作相结合。在本文中,我们描述了一个以轻型制造为背景的原型系统及其在用户研究中的实证验证,在该研究中,18名有一定编程经验的参与者几乎无需培训就能执行各种复杂的远程操作任务。我们的结果表明,我们的方法允许用户创建灵活的自主时间段并解决丰富的操作任务。此外,与比较更直接的界面相比,参与者明显更喜欢我们的系统,这证明了我们的方法在使终端用户有效执行远程机器人编程方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df36/8502825/9dbee4eb422f/frobt-08-707149-g001.jpg

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