Skip to main content

The AI-controlled robot can be a good research assistant.

  The AI-controlled robot can be a good research assistant. 


The researchers can use the robots as external bodies. They can connect their computers to the robots on the other side of Earth. So researchers can operate remotely in laboratories. That is at the side of the Earth. The robot uses augmented reality to perform operations like chemical tests. That should done in a fully controlled environment. 

The robot that follows the person's every word is always problematic. The reason for that is those systems can allow to circumvent export restrictions. The operator who sits at home in Sweden or Finland can use that robot remotely in the laboratory that is in Indonesia or China. That person can produce things and solutions using that exobody. The robot body that works in the laboratory can also observe people and things that people do in those laboratories. 

The robot can operate in laboratories where is at high risk of getting dangerous biological, chemical, or radioactive exposure. In some visions, those assistant robots will operate at lunar bases and orbital trajectories as assistants for manned crews. 



"Carnegie Mellon’s AI system, Coscientist, autonomously conducts chemistry experiments, significantly advancing scientific research. By using large language models and automating the experimental process, it offers a new level of efficiency and accessibility in scientific research, with an emphasis on safety and ethical use. Credit: SciTechDaily.com" (ScitechDaily.com/Automating Scientific Discovery: Carnegie Mellon’s AI Coscientist Transforms Lab Work)


The lunar laboratory would be an excellent place to work with dangerous biological material.  If there is some kind of leak, the system must only let solar wind sterilize that laboratory. And humans are not risking their lives. The orbital robots can use manipulators that look like human hands. But their shape can be more like tins with rocket engines than humans. 

The idea is that robots can learn things with humans. When this robot faces some new problem it asks humans to solve it. In that process, human operators can use advanced 3D models where is possible to see things from an outsider or the 1st. person view. When the operator makes a solution, it will send it to the command system that controls the robot. The robot or its control system can store the solution for the next use. 

A robot that works with scientists is a very interesting tool. The robot that is connected with Chat GPT or some other language model can operate in flexible situations. The idea is that the AI can make the code, that is customized for every situation by following spoken orders from the user. It's possible that in the robot's body is the screen where the user sees what kind of code the AI makes. 

Or that the robot's user interface can connected to the mobile application. And the user can simply tell the robot, what it must do to the cell phone. Then that application transfers those orders to the robot using the BlueTooth. The idea is that the robot is connected to the central computer through VPN connections. The complicated control code is in the supercomputer far away from the robot. And that thing makes those robots very flexible. 

https://scitechdaily.com/automating-scientific-discovery-carnegie-mellons-ai-coscientist-transforms-lab-work/



Comments

Popular posts from this blog

The new bendable sensor is like straight from the SciFi movies.

"Researchers at Osaka University have developed a groundbreaking flexible optical sensor that works even when crumpled. Using carbon nanotube photodetectors and wireless Bluetooth technology, this sensor enables non-invasive analysis and holds promise for advancements in imaging, wearable technology, and soft robotics. Credit: SciTechDaily.com" (ScitechDaily, From Sci-Fi to Reality: Scientists Develop Unbreakable, Bendable Optical Sensor) The new sensor is like the net eye of bugs. But it's more accurate than any natural net eye. The system is based on flexible polymer film and nanotubes. The nanotubes let light travel through it. And then the film at the bottom of those tubes transforms that light into the image. This ultra-accurate CCD camera can see ultimate details in advanced materials. The new system can see the smallest deviation in the materials.  And that thing makes it possible to improve safety on those layers. The ability to see ultra-small differences on surf

Quantum breakthrough: stable quantum entanglement at room temperature.

"Researchers have achieved quantum coherence at room temperature by embedding a light-absorbing chromophore within a metal-organic framework. This breakthrough, facilitating the maintenance of a quantum system’s state without external interference, marks a significant advancement for quantum computing and sensing technologies". (ScitechDaily, Quantum Computing Breakthrough: Stable Qubits at Room Temperature) Japanese researchers created stable quantum entanglement at room temperature. The system used a light-absorbing chromophore along with a metal-organic framework. This thing is a great breakthrough in quantum technology. The room-temperature quantum computers are the new things, that make the next revolution in quantum computing. This technology may come to markets sooner than we even think. The quantum computer is the tool, that requires advanced operating- and support systems.  When the support system sees that the quantum entanglement starts to reach energy stability. I

Humans should be at the center of AI development.

"Experts advocate for human-centered AI, urging the design of technology that supports and enriches human life, rather than forcing humans to adapt to it. A new book featuring fifty experts from over twelve countries and disciplines explores practical ways to implement human-centered AI, addressing risks and proposing solutions across various contexts." (ScitechDaily, 50 Global Experts Warn: We Must Stop Technology-Driven AI) The AI is the ultimate tool for handling things that behave is predictable. Things like planets' orbiting and other mechanical things that follow certain natural laws are easy things for the AI. The AI might feel human, it can have a certain accent. And that thing is not very hard to program.  It just requires the accent wordbook, and then AI can transform grammatically following text into text with a certain accent. Then the AI drives that data to the speech synthesizer. The accent mode follows the same rules as language translation programs. The ac