Skip to main content

The dance of robots





Kimmo Huosionmaa

The modern way to teach robots is not similar than making programs. It could be like teaching children. In this scenario, the programmer would take the robot by hand, and then make the movement of robot’s hand with it. After this, the system will record the movements, what are needed to take the example the glass from the table. But how to teach the robot to dance. This is the question of the week.


 And there is needed the dancer, whose character would be digitized by using laser-scanners. Then the movements of this character would be transmitted in the robot’s digital mind. After this, the robot’s computers would control it’s hydraulics like the way, that the robot makes dance movements. This is the very effective way to teach the things to robots, and the same way we can teach the language to the computer. There would be a dictionary book in the memory of this machine, and then we are starting to talk to the system.


First, we must write the answers to the computer, but when we are asked many questions, and wrote enough answers, the computer starts to work more and more independently. In this program might be three layers of answers. The first answer could be the text, what is written by the user, but when the computer learns more words, that would ask only if the answer is correct. This computer would record the questions and compile it with answers, and then compile those answers in many other things, what are involved with similar actions.


Then the robot is asked to bring the milk to the table, would the action be first, that the programmer would take the robot to the freezer, and then the robot would take the milk bottle. But when the programmer asks to bring the screwdriver, would the computer or robot uses same actions when it used in the case of the milk bottle. But now it must find that thing from somewhere else. So it starts to open the doors of lockers, and look for the things, what looks like the screwdriver.


For this action, the robot needs the picture of the screwdriver. After that robot compiles the picture in its memory to the real situation. The system, what is used in Digital Scene Matching Area Correlation can also compile the shape of the other things, and that would make those machines more independently than ever before. The bases of learning are the ability to make networks with words and actions.


And the first things in this process are the most difficult. When the first world and the action for it are made, the robot, what is controlled by speech comes near to us, by step by step. This network would give the opportunity to make the robot, what learns things itself. And this kind of robots might be dangerous in wrong hands. In real life, robots might have access to Internet dictionaries, and they can compile the orders to the databases. In this case, the robot would get orders to get the spoon.


Then robot would find what to do if it is given the order of getting something and then look for the spoon from the Internet. This makes robot easier to learn everything. And in real case robot could find the orders to use some equipment from the Internet, and in this case that could make robot very dangerous, because the programmers don’t know, what robot have been learned. In the case of robotics, the extremely important thing is to control what robot can do. There would be robot what have learned city warfare tactics and knowledge of using weapons without that the programmers even know about this, will the situation became very dangerous. Self-learning brings the uncontrollable element to tests, and this might even cost human lives.




 http://crisisofdemocracticstates.blogspot.fi/p/the-dance-of-robots-modern-way-to-teach.html

Comments

Popular posts from this blog

The hydrogen-burning supernovas are interesting models.

"Researchers discovered a significant magnesium anomaly in a meteorite’s dust particle, challenging current astrophysical models and suggesting new insights into hydrogen-burning supernovas. (Artist’s concept.)Credit: SciTechDaily.com" (ScitechDaily, Rare Dust Particle From Ancient Extraterrestrial Meteorite Challenges Astrophysical Models) If the star is too heavy when its fusion reaction starts, it can detonate just at that moment, when its fusion starts. If the collapsing nebula is heavy enough, it can form a black hole straight from the nebula. But if the nebula's gravity is too heavy to  form  the blue giant or too  small  it can collapse  straight  into a black hole . If  the forming star is a little bit larger than the blue supergiants. It can explode immediately when the fusion starts.    The theory of hydrogen-burning supernovas consists  model  of the giant stars that explode immediately after their fusion starts. When the...

The ancient galaxy mirrors the Milky Way.

"This image shows the galaxy REBELS-25 as seen by the Atacama Large Millimeter/submillimeter Array (ALMA), overlaid on an infrared image of other stars and galaxies. The infrared image was taken by ESO’s Visible and Infrared Survey Telescope for Astronomy (VISTA). In a recent study, researchers found evidence that REBELS-25 is a strongly rotating disc galaxy existing only 700 million years after the Big Bang. This makes it the most distant and earliest known Milky Way-like galaxy found to date. Credit: ALMA (ESO/NAOJ/NRAO)/L. Rowland et al./ESO/J. Dunlop et al. Ack.: CASU, CALET" (ScitechDaily, Astronomers Baffled by Ancient Galaxy That Mirrors Modern Milky Way) Researchers found the youngest Milky Way-type galaxy. The distance to the galaxy is enormous. And the light that comes from that galaxy named REBELS-25 comes from the Universe that is only 700 million years old. The distance to that galaxy is enormous about 236 billion light years. And that means it's a very dista...

Transcendence, or the ability to transcendent thinking may grow in teen's brains.

   "New research has discovered that transcendent thinking, which involves analyzing the broader implications of situations, can foster brain growth in adolescents. This form of thinking enhances brain network coordination, impacting developmental milestones and future life satisfaction. The study emphasizes the need for education that encourages deep, reflective thought, underscoring the critical role of adolescents in their own brain development". (ScitechDaily, Scientists Discover That “Transcendent” Thinking May Grow Teens’ Brains) "Scientists at  USC Rossier School of Education’s Center for Affective Neuroscience, Development, Learning and Education (CANDLE) have discovered that adolescents who grapple with the bigger meaning of social situations experience greater brain growth, which predicts stronger identity development and life satisfaction years later". (ScitechDaily, Scientists Discover That “Transcendent” Thinking May Grow Teens’ Brains) The transcendenc...