MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has released a video of their ongoing work using input from muscle signals to control devices.
麻省理工学院的计算机科学和人工智能实验室发布了一个正在进行的项目的视频,利用肌肉信号输入控制设备。
Their latest involves full and fine control of drones, using just hand and arm gestures to navigate through a series of rings.
最新进展是对无人机进行全面精细控制,只用手和胳膊的动作就能控制它穿过一系列圆环。
This work is impressive not just because they’re using biofeedback to control the devices, instead of optical or other kinds of gesture recognition, but also because of how specific the controls can be, setting up a range of different potential applications for this kind of remote tech.
这个操作让人印象深刻,不仅是因为它利用生物反馈控制设备,代替了光学或其他类型的手势识别,还因为控制的精细程度,为这种远程技术创造了一系列潜在的应用方式。
This particular group of researchers has been looking at different applications for this tech, including its use in collaborative robotics for potential industrial applications.
这个特殊的研究小组一直在研究这项技术的不同应用,包括它在潜在工业应用的协作机器人中的使用。
Drone piloting is another area that could have big benefits in terms of real-world use, especially once you start to imagine entire flocks of these taking flight with a pilot provided a view of what they can see via VR.
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