But thick, bulging and slippery creatures are pretty hard to learn because they are trying to elude anyone who is trying to inspect them. Scientists Started from Website Development in Batumi.

So it was before. In a new article published in the Science Robotics magazine about new technologies and robotics, mechanical materials engineer Nina Sinatra of Harvard University and her colleagues developed a new research robot with sufficiently soft, finger-like tentacles to catch slippery sea creatures without causing harm them.

“We really wanted to think of it as a gentle embrace of an animal,” Sinatra says in Popular Mechanics magazine. “Jellyfish is a complex creature to interact with, so for us, for engineers, it was an interesting design task.”

Sinatra’s robot has six finger-shaped processes that stretch and delicately compress around the object. The air channel inside each finger can be under pressure, causing them to bend inward, and the soft outer silicone coating of each finger is enveloped by a mesh of nanofibers that help guide their movements.

Sinatra and her colleagues first practiced using the device on artificial jellyfish in their laboratory. To evaluate the success of the bot, the researchers wanted to see if the fingers could withstand the forces of wriggling animals. Speed ​​was also an important factor: if the hands closed too quickly, they could pierce the jellyfish, but if they closed too slowly, it could slip out and swim away.

The team also tracked the durability of the bot. Sinatra says he was able to complete 100 grabs before his fingers worn out.

Then the scientists went to the New England Aquarium in Boston to test the four-fingered version of the device on three common types of jellyfish: eared aurelia, blue fat jellyfish and golden jellyfish. But all three of the above subjects easily slipped away from the device with four “fingers,” so the scientists added two extra fingers at the top and bottom of the palm to provide a stronger grip.

To protect the animals during capture, the robot needs to apply the necessary amount of pressure. Sinatra says that contact pressure (a force created by two objects repelling each other) of 1 kilopascal (kPa) or more can potentially crush a fragile jelly body. During testing, the robot worked with an average contact pressure of approximately 0.05 kPa, which is well below the limit of 1 kPa.

Modern methods include cleaning soft animals using nets that can entangle animals, or even kill them. In 2018, Sinatra was part of a team of researchers from the University of Rhode Island, Baruch College and Harvard University, who discovered a strange device designed to capture “without touch”. Unfortunately, as the container approached the animals, it periodically clamped their tentacles.

Kakani Katia, chief engineer at the Monterey Bay Aquarium Research Institute, tells Popular Mechanics that “collecting deep-sea creatures is an unnatural process,” so it’s unclear how effective such devices are in protecting animals from “collection stress”. But “it will be interesting to see how it (collection technology) is used and changed with further development,” she says.

Sinatra has high hopes for its bot. He has the lowest pressure compared to any robotic capture, and she believes that this can help identify and select new types of jellyfish that are too fragile to be caught using modern methods. In the future, these technologies may be modified, which means they will become useful in scientific research. Today, this bot is ideal for catching any deep-sea creature that scientists are trying to study.

Сообщение AI Robots help in research появились сначала на SouluEngineering.

There probably is not a single source of information that would not raise the topic of Artificial Intelligence, its harm or benefits to society. We get used to the idea of ​​the presence of AI in simple household items, transport, office. But there is another area of ​​life that is still difficult to imagine in virtual performance is a virtual court.

A service such as an online court with a virtual judge has already been launched in Beijing. Using speech and image synthesis, the virtual judge works mainly with the simplest tasks. For example, acceptance of statements of claim, control over the terms of litigation. The main task of a virtual judge is to unload judges from routine work so that they can devote more time to litigation.

The virtual judge looks and behaves like a real, friendly and very nice person. Artificial intelligence can answer questions on litigation, provide advice to users. The virtual judge helps citizens use the online litigation platform that is available in the archive. The virtual judge helped increase the objectivity and speed of customer service, increased the efficiency of the court. Soon, the virtual judge will work more like an assistant judge, giving online consultations in the mode of questions and answers, using data from the archives of all court cases that are uploaded to his database.

The virtual court was first held in the People’s Republic of China, in Zhejiang Province, Hangzhou in 2018. The court dealt mainly with civil cases related to Internet commerce, online services and online lending.

The second virtual trial was held in Beijing, also in 2018. This court did not require the presence of the plaintiff and defendant. The trial was conducted through the court website. All documents were submitted only on the site. The trial took place in the video broadcast mode, in online mode. The court passed quickly, the virtual judge decided on the basis of law and judicial practice. All parties to the trial were satisfied.

After all this, you start to think, maybe the presence of hundreds of thousands of judges in Ukraine is worse than one virtual judge using artificial intelligence?

Maybe this way we can avoid lengthy lawsuits, postponing cases for months and years due to vacations or workload of judges?

What do you think about the appearance of such judges?

Write in the comments or Leave a message here.

Сообщение Virtual judge with Artificial Intelligence (AI) появились сначала на SouluEngineering.