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Technological innovation has never ceased to surprise, and the last feat of MIT scientists is proof of this. Using models of generative artificial intelligence, they managed to design a robot capable of jumping much higher than its counterparts designed by humans. This advance illustrates not only the potential of AI technologies, but also their ability to optimize the mechanical performance of robots based on complex physical principles. The process, which involved a series of tests and iterations, resulted in a robot that could redefine the robotics standards.
The secrets of the design assisted by IA
The heart of this innovation lies in the use of distribution models, a technique that allows generate structures and control systems From zero. MIT researchers, based on these models, were able to create optimized robot designs for increased performance. The process begins with the creation of a 3D model of the robot, where users can specify the parts they wish to see modified by the AI. This approach made it possible to design a robot capable of jumping on average at a height of 60 centimeters, an increase of 41 % compared to a similar model designed manually.
The differences in the design are subtle but significant. While standard robots use straight and rectangular connections, the models generated by the AI ​​have curved and thicksimilar to drum baguettes. This innovative form allows the robot to store more energy before jumping, without compromising the robustness of the structure. This ability to design unique and functional forms is what really differentiates AI from traditional design methods.
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Science behind improved jumps
MIT scientists revealed that although robots, whether designed by humans or AI, are made from the same material, polylactic acid, the design approach differs greatly. The robots initially seem flat but take a diamond form when an engine pulls on a cord attached to them. This transformation is essential for the jump.
The AI ​​model has suggested a structure that not only increases the jump height, but also improves stability to landing. Indeed, during repeated tests, it was found that the robot designed by AI fell 84 % less often than the basic model. This increase in stability is crucial for future applications where the fluid and safe movement is essential.
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To new robotic horizons
The implications of this research go far beyond improved jumps. Researchers plan to exploit the diffusion model to design robots capable of various tasks, such as the gripping of objects or the use of electrical tools. This could transform the field of robotics by allowing more adaptive and versatile conceptions.
The potential is immense, and the researchers wish to explore to new materials Lighter to make jumps even more impressive. In addition, the addition of additional motors could make it possible to control the jump management and further improve stability to landing. These advances could mean that the robots of tomorrow will not only be more efficient, but also safer and more efficient.
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A promising future for AI and robotics
The success of this experience paves the way to many future innovations. The capacity of AI to design optimized structures for increased mechanical performance is a major advance. Using materials compatible with 3D printing, researchers can quickly prototyper and test new designs.
But beyond the technique, this research raises fascinating questions about the creative capacities of AI and its role in the future of technological conception. If AI can already design robots that surpass those designed by humans, what other borders could repel in the future?
While technology continues to progress, we are faced with an intriguing question: how will AI transform other aspects of our daily and professional life, and what new possibilities will open up to us thanks to these innovations?
The author relied on artificial intelligence to enrich this article.
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