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Soft robots may not be in touch with human feelings, but they are getting better at feeling human touch. Cornell University rese
Soft robots may not be in touch with human feelings, but they are getting better at feeling human touch. Cornell University rese
admin
2022-10-23
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问题
Soft robots may not be in touch with human feelings, but they are getting better at feeling human touch. Cornell University researchers have created a low-cost method for soft, deformable (可变形的) robots to detect a range of physical interactions, from pats to punches to hugs, without relying on touch at all. Instead, a USB camera located inside the robot captures the shadow movements of hand gestures on the robot’s skin and classifies them with machine-learning software.
The new ShadowSense technology originated as part of an effort to develop inflatable (充气的) robots that could guide people to safety during emergency evacuations. Such a robot would need to be able to communicate with humans in extreme conditions and environments. Imagine a robot physically leading someone down a noisy, smoke-filled corridor by detecting the pressure of the person’s hand.
Rather than installing a large number of contact sensors—which would add weight and complex wiring to the robot, and would be difficult to embed in a deforming skin—the team took a counterintuitive approach. In order to gauge touch, they looked to sight. "By placing a camera inside the robot, we can infer how the person is touching it and what the person’s intent is just by looking at the shadow images, " the researcher, Yuhan Hu, said.
The prototype robot consists of a soft inflatable bladder (囊状物) of nylon skin, under which is a USB camera, which connects to a laptop. The researchers developed a neural-network-based algorithm that uses previously recorded training data to distinguish between six touch gestures—touching with a palm, punching, touching with two hands, hugging, pointing and not touching at all—with an accuracy of 87. 5 to 96%, depending on the lighting. The robot can be programmed to respond to certain touches and gestures, such as rolling away or issuing a message through a loudspeaker. And the robot’s skin has the potential to be turned into an interactive screen. By collecting enough data, a robot could be trained to recognize an even wider vocabulary of interactions, custom-tailored to fit the robot’s task, Hu said.
The robot doesn’t even have to be a robot. ShadowSense technology can be incorporated into other materials, such as balloons, turning them into touch-sensitive devices. In addition to providing a simple solution to a complicated technical challenge, and making robots more user-friendly to boot, ShadowSense offers a comfort that is increasingly rare in these high-tech times: privacy. "If the robot can only see you in the form of your shadow, it can detect what you’re doing without taking high fidelity (精确性) images of your appearance, " Hu said. "That gives you a physical filter and protection, and provides psychological comfort. "
How did the robot show that it could sense different gestures?
选项
A、By using a neural-network-based algorithm.
B、By distinguishing the recorded training data.
C、By reacting with specific motions or sounds.
D、By giving feedback on an interactive screen.
答案
C
解析
由题干中的the robot show that it could sense定位到第四段。细节辨认题。由第四段第三句可知,机器人可以通过编程对某些触摸和手势作出反应,比如翻滚离开或通过扬声器发出信息,因此C“通过对特定的动作或声音作出反应”与定位句意思相同,故为正确答案。
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