ZoomTouch:基于dnn手势识别的多用户远程机器人缩放控制

Ilya Zakharkin, A. Tsaturyan, Miguel Altamirano Cabrera, Jonathan Tirado, D. Tsetserukou
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引用次数: 4

摘要

ZoomTouch是一项突破性的技术,通过基于dnn的手势识别,实现Zoom机器人的多用户实时控制。用户可以在数字世界中进行视频会议,同时通过远程机器人对有形物体进行灵巧的操作。作为场景,我们提出了远程机器人COVID-19检测实验室,以替代穿着防护服与感染细胞近距离接触的医疗助理,并大大缩短接收检测结果的时间。提出的技术提出了一种新型的现实,在这种现实中,多用户可以共同与远程对象进行交互,例如进行新的建筑设计,在机器人厨房中联合烹饪等,并同时讨论/修改结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ZoomTouch: Multi-User Remote Robot Control in Zoom by DNN-based Gesture Recognition
We present ZoomTouch, a breakthrough technology for multi-user and real-time control of robot from Zoom by DNN-based gesture recognition. The users can have a video conferencing in a digital world and at the same time to perform dexterous manipulations with tangible objects by remote robot. As the scenario, we proposed the remote robotic COVID-19 test Laboratory to substitute medical assistant working in protective gear in close proximity with infected cells and to considerably reduce the time to receive the test results. The proposed technology suggests a new type of reality, where multi-users can jointly interact with remote object, e.g. make a new building design, joint cooking in robotic kitchen, etc, and discuss/modify the results at the same time.
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