Robots change cell phones, desk lamps, MIT new heights

According to Lei Feng, MIT can be a real hit room, often with a variety of bright things to be created. Massachusetts Institute of Technology media lab developed a new machine called LineFORM snake robot prototype, the snake like flexible, even you can't see it any bones, countless different structures can be changed at any time, can be turned into a mobile phone, desk lamp and exoskeleton etc.. The lab said the development of the robot is meant to change our way of life, so that robots can replace our mobile phones, desk lamps and a series of mobile devices.

In a demo video released in the laboratory, the robot began to be worn as a bracelet, when a call comes in, the phone immediately into the shape of the robot, demonstrators even think of it as a touch screen mobile phone call in the above presentation.

LineFORM also has the potential to act as a cable. When it is given a light bulb, it can supply power to the bulb by connecting the power supply, and at the same time it becomes a stent immediately, just like a desk lamp. In addition, rotating the body can also change the brightness of the bulb. It can also transfer files and connect to the computer. When you select a file to transport on your computer, it immediately shakes your body, like a steady stream of energy.

In the end, it can be your fitness instructor, and if you don't know how to do it, let it teach you how to do it. The robot, as an exoskeleton, is attached to your arms, and the robot will automatically carry your arm with you, in order to exercise your body and your arms flexibly.

Of course, although the Massachusetts Institute of Technology media lab made a prototype of the LineFORM, some things, such as cell phones, are still a big hole in the brain. Sean Follmer, the head of the lab, says they think the next generation of mobile devices should be flexible and changeable.

The idea of a big hole in the brain, the small series is also amazing, foreign children really play. And whether these functions can be achieved, Xiao Bian consulted several people in the industry, and found that everyone's views are difficult to unify.

Sure enough: This is not a hard nut to crack

Sure Fang A: "snake robot, are linked with the steering gear, not really difficult, mainly the steering gear cow forced.". For example, this phone call, you think, is just part of what we see (the lower computer), and there's a part of it. The host computer receives a phone call and learns that it is a phone call. It controls the steering gear of the slave computer and turns the steering gear into a telephone...... This is not difficult."

Affirmation B: "multi degree of freedom control should not be too difficult technology."! Maybe the design is pretty clever, but it must be interactive, okay?! Either control or trigger sensor, the phone only need to add a 4G module is good, of course mic and the receiver, straight machine circuit board of Nokia is very small, remove the plug into the line. If this is a difficult point, I feel a little bit more."

Certainly C: "the exoskeleton is still more difficult to achieve, because each person's body is not the same, very high precision of sensor close, on the steering gear and algorithm, computing ability are very demanding. If the call is deformed, those who change the desk lamp are relatively simple and too much. Because of little change, the algorithm is simple, the scene is simple. Because the call can be seen as an instruction, do the corresponding action changes, into different shapes, coordination of the relevant steering gear on the line."

The negative side: impossible to achieve those functions

Opposition D: "there is so little information that I cannot judge the principle of the robot.". But I know that the good thing about genetic algorithms and reinforcement learning is that robots can change their shape in different environments. Video, especially in the back of the structure, the video will find that the structure is the combination of steering gear, deformation should be achieved through genetic algorithms. But to achieve those functions, the brain hole is too big. And the genetic algorithm isn't that fast... So the conclusion is, I'd better go back to earth. MIT is a martian."

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