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。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。无人驾驶是这项技术在现实中另一个用处很大的领域。

MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has released a video of their ongoing¹ work using input² from muscle signals to control devices.

 

Their latest involves full and fine control of drones, using just hand and arm gestures to navigate³ through a series of rings.

 

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.

 

This particular group of researchers has been looking at different applications for this tech, including its use in collaborative robotics for potential industrial applications.

 

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.

 

That could be a great way to do site surveying for construction, for example, or remote equipment inspection⁴ of offshore⁵ platforms and other infrastructure⁶ that’s hard for people to reach.

 

Seamless robotic/human interaction is the ultimate goal of the team working on this tech, because just like how we intuit our own movements and ability to manipulate our environment most effectively, they believe the process should be as smooth when controlling and working with robots.

 

Thinking and doing are essentially⁷ happening in parallel when we interact with our environment, but when we act through the extension of machines or remote tools, there’s often something lost in translation that results in a steep learning curve and the requirement of lots of training.

 

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