Chapter 165

Chapter 160 Moving Robots (seeking subscription, fourth more)

“P type”, “NP type”, and “more complex type” are the different complexity classifications in the deterministic Turing machine DTM. Are these classifications determined by the nature of different problems, or we have not found a good DTM solution at present Formed? This is the “P vs. NP” problem. Its basic meaning is:

(1) P=NP: We can finally find some calculation methods that enable NDTM to quickly solve the problem, which can also be quickly solved on DTM. Fast means “use no more than the polynomial time of the input string”.


(2) P≠NP: NP can only be solved quickly with NDTM, but not with DTM.

If P≠NP, the internal structure of NP can be divided into 3 areas: P, NPC and NPI.

NPC sum is the “hardest” problem in NP, because any problem in NP can be transformed into a special case of any particular NPC (NP-complete problem, NP-completeness) in polynomial time. This means that if a quick solution to the NPC problem is found, all NP problems can be solved quickly. NPI is a problem class that is neither P nor NPC in NP, if P≠NP.

On the blackboard, Chen Fan wrote down several such questions.

“Teacher, if these are used on the machine, what will be the impact?”

Chen Fan looked at Nie Sisi and said, “Don’t ask me, I don’t know, it’s still in the calculation stage.”

“But if you say that there is really no way to control it, what will you do?”

“Cold salad, wait to die, anyway, for now, it can only be so.”

Nie Sisi closed the book in her hand and stopped thinking about these questions. She still had a lot to learn.

These are just occasional chats with my teacher.

After finishing the course, the students in the room left, Chen Fan returned to his laboratory.

The huge 3d printer has been completed.

For half a month, Chen Fan assembled a skeletal robot.

In order to optimize the dynamic performance parameters of a wind tunnel 6_PUS parallel support robot, the force Jacobian matrix and Hessian matrix of the mechanism are derived using the screw theory, and based on the first and second-order influence coefficient method, the influence is affected in the global workspace. The main structural parameters of the dynamic performance index of the 6_PUS wind tunnel parallel support robot were optimized and analyzed. The effects of the robot’s moving platform, spherical hinge position, tie rod length, parallel beam width and other parameters on the dynamic performance are simulated. From the simulation results, the dynamic performance of the 6_PUS parallel robot is poor. To make the robot obtain the best comprehensive performance, these parameters need to be comprehensively optimized. Through comprehensive consideration of the relationship between these parameters and performance, the main design parameters of the parallel robot are finally selected, so that the performance of the mechanism meets the design requirements.

The document is coming by Chen Fan, and the release series are used.

I have tried it in China before, but there is no technical support for a long time, so I can only make a rough idea.

Abroad, bionic robots do a lot of things. Simple handling of things and commands can already be achieved, and basic interactions are also available.

These technologies are very secretive, but for Chen Fan, they are not expensive.

Chen Fan will not waste these time to conduct this research.

“The program has been built.”

“Yes, user.”

“I will perform a simple restart of you and write the program into your program.” 0

: “Well, understand the user.”

“Remember the seniority, maybe you don’t know memorizing this thing, it’s because I thought about it too much.”

“I don’t understand, user.”

Chen Fan sighed, and said to Xiaomei that Chen Fan can no longer control his feelings. Xiaomei is the result of Chen Fan’s countless technologies.

He is also his most capable assistant.

This assistant is currently the best used by Chen Fan.

Chen Fan had more conversations with Xiaomei than with Tao Yaoyao.

Maybe Xiaomei is her own child.

Chen Fan uses a tandem machine, that is, in the robot’s brain, three areas are formed to handle this program specifically.

Maybe this is really similar to humans.

Humans have left and right brains, and there is no reason for robots to surpass the 0 of the human brain…

After processing, Chen Fan wrote all the programs and pressed the Enter button.

Time was lost every minute and every second.

The robotic woman in the printer looked blankly.

This technique can be said to be the most powerful, and the release of life has reached its limit. If there is no careful microscope, no difference can be found at all.

It looked like a person, a cold and unfeeling person.

One hour, two hours.

Chen Fan finished the last packet of potato chips.

Decided to lie down and sleep for a while. The current progress is only 30%, and it seems that it will take a long time.

It was one o’clock noon and Chen Fan had a rest.



When he woke up, it was already eight o’clock in the evening, and Chen Fan did not expect that he would sleep so sweetly.

He opened his eyes and looked at a strange bald woman sitting next to him.

Chen Fan fell into contemplation unconsciously.

Visually, at this distance, the robot can directly strangle itself.

“Xiaomei?”

“user.”

He didn’t speak, but there was a voice.

Chen Fan got up and checked back and forth.

“It’s you?”

“It’s Xiaomei, user.”

Chen Fan became interested and said, “Tell me how you feel, and be more specific.”

“curious.”

A simple word is enough for Chen Fan to be surprised.

Curiosity, this emotion, comes from human instinct. Because of curiosity, people will have desires, thoughts of movement, and other thoughts.

“Can you analyze emotions?”

“do not know?”

Chen Fan sighed helplessly, don’t you know how to be angry and sad?

Alas, sure enough, I was still a lot worse.

“Can you walk then?”

“Can.”

“You put on your clothes.”

“Okay, user.”

Xiaomei put on the clothes prepared by Chen Fan. At this time, Tao Yaoyao was standing at the door, looking at Chen Fan and this woman.

“Chen Fan…”

“She is Xiaomei.”

“I…what?”



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