Intuitive Programming with Remotely Instructed Robots inside Future Gloveboxes
Intuitive Programming with Remotely Instructed Robots inside Future Gloveboxes
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DOI：
10.1145/3371382.3378326
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发表时间：
2020-03
期刊：
影响因子：
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通讯作者：
Ayan Ghosh;S. Veres;D. A. P. Soto;James E. Clarke;J. Rossiter
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作者：
Ayan Ghosh;S. Veres;D. A. P. Soto;James E. Clarke;J. Rossiter
我们的研究旨在促进未来的手套箱在核工业中的“远程指导机器人”的设计。这种系统的两个主要特点是：（1）它们可以自动模拟工作环境，并将该信息传递给虚拟现实（VR）中的操作员。(2)它们可以接收由机器人执行的操作员的指令。然而，这种系统的不足之处在于，当机器人的能力或硬件被重新配置、改变或升级时，它们严重依赖于专家程序员的知识。这份最新的报告提出了远程指导机器人的第三个重要进步：（3）操作员的直观编程修改，这些操作员不是程序员，但具有硬件的基本知识，最重要的是，具有特定处理任务的弱点经验。
Our research aims at facilitating the design of 'Remotely Instructed Robots' for future glove-boxes in the nuclear industry. The two main features of such systems are: (1) They can automatically model the working environment and relay that information to the operator in virtual reality (VR). (2) They can receive instructions from the operator that are executed by the robot. However, the deficiency of these kind of systems is that they heavily rely on knowledge of expert programmers when the robot's capabilities or hardware are to be reconfigured, altered or upgraded. This late breaking report proposes to introduce a third important advancement on remotely instructed robots: (3) Intuitive programming modifications by operators who are non-programmers but have basic knowledge of hardware, and most importantly, have experience of the weaknesses in particular handling tasks.