CoFrame: A System for Training Novice Cabot Programmers
CoFrame: A System for Training Novice Cabot Programmers
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CoFrame：用于培训新手卡博特程序员的系统
DOI：
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Bilge Mutlu
中科院分区：
文献类型：
--
作者：
Andrew Schoen;N. White;Curt Henrichs;Amanda Siebert;D. Shaffer;Bilge Mutlu
将协作机器人（cobots）引入工作场所为那些寻求利用其功能的人提供了机会和挑战。之前的研究表明，尽管协作机器人提供了这些功能，但这些功能与它们当前部署的应用程序之间存在脱节，部分原因是该领域缺乏有效的以协作机器人为中心的指导。在这个协作领域中成功工作的专家可以深入了解他们用来更有效地捕获这种协作机器人功能的考虑因素和过程。使用专家的见解在协作交互设计空间的分析，我们开发了一套专家框架，这些见解的基础上，并将这些专家框架集成到一个新的培训和编程系统，可用于教新手操作员思考，程序，和故障排除的方式，专家做。我们提出了我们的系统和案例研究，展示了专家框架如何为新手用户提供分析和学习复杂的合作机器人应用场景的能力。
The introduction of collaborative robots (cobots) into the workplace has presented both opportunities and chal-lenges for those seeking to utilize their functionality. Prior research has shown that despite the capabilities afforded by cobots, there is a disconnect between those capabilities and the applications that they currently are deployed in, partially due to a lack of effective cobot-focused instruction in the field. Experts who work successfully within this collaborative domain could offer insight into the considerations and process they use to more effectively capture this cobot capability. Using an analysis of expert insights in the collaborative interaction design space, we developed a set of Expert Frames based on these insights and integrated these Expert Frames into a new training and programming system that can be used to teach novice operators to think, program, and troubleshoot in ways that experts do. We present our system and case studies that demonstrate how Expert Frames provide novice users with the ability to analyze and learn from complex cobot application scenarios.
Authr：人机团队的任务创作环境
DOI：
10.1145/3379337.3415872
发表时间：
2020
期刊：
UIST '20: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
影响因子：
--
作者：
Schoen, Andrew;Henrichs, Curt;Strohkirch, Mathias;Mutlu, Bilge
通讯作者：
Mutlu, Bilge
将协作机器人集成到制造流程中优化完工时间和人体工程学
DOI：
10.1109/tase.2018.2789820
发表时间：
2018
影响因子：
5.6
作者：
Pearce, Margaret;Mutlu, Bilge;Shah, Julie;Radwin, Robert
通讯作者：
Radwin, Robert
人机协作中的任务相互依赖
DOI：
--
发表时间：
2020
期刊：
IEEE International Conference on Robot and Human Interactive Communication
影响因子：
--
作者：
Fangyun Zhao, Curt Henrichs
通讯作者：
Fangyun Zhao, Curt Henrichs