The AI ​​system helps to make robots according to the description

The system that allows amateur can also design and manufacture robots with simple descriptions, Interesting Engineering On 10/4 reported. “Making a robot from the beginning is impossible for most people due to the complexity of AI integration, mechanical design and functional constraints. Text2Robot aims to eliminate these barriers,” said Boyuan Chen, Associate Professor at Duke University.

The system operates according to the process consisting of many stages of close combination. First, a large language model analyzes the user’s natural language description, for example: 6 -leg robot can go through rough terrain. This input is included in a generating module that helps to convert text into a 3D model, creating a preliminary digital model of the robot. At this time, the shape of a robot is designed by function.

Next, the system includes the physical constraints necessary for the robot to work in practice, consider the ability to move the joints, the sensor position and the transmission, the weight distribution and the 3D printing ability. The virtual design is then included in many simulation environments to check and adjust the moving ability. Enhanced algorithms along with evolutionary strategy help optimize both physical form and robot’s control software, creating movement chains that are both effective and stable.

What makes Text2Robot different is the ability to go from simulation to reality. Robot designs can be produced by popular 3D printing technology and available components on the market. Text2Robot allows individuals or small organizations to quickly create the robotic prototype that operates without deep knowledge of this field.

Although still in the development stage, Text2Robot brings prospects that in the future, robot design can become as simple as writing documents or webpage design. Potential applications include robots that support personalization, educational tools, battlefield reconnaissance systems, environmental monitoring drones and many other applications, all created from natural language.