Researchers build new AI that could replace sushi chefs

Researchers at the Massachusetts Information of Technology (MIT) have developed a new particle simulator that can help robots grab delicate objects without damaging them by learning how different materials (particles) react to the touch.

Particle simulator developed by MIT researchers. (MIT)

Researchers are enhancing Artificial intelligence (AI) to aid in tasks earlier deemed challenging for robots to execute, such as preparing sushi rolls.

Researchers at the Massachusetts Information of Technology (MIT) have developed a new particle simulator that can help robots grab delicate objects without damaging them by learning how different materials (particles) react to the touch.

The new learning-based particle simulator system improves the ability of a robot to mold materials into simulated target shapes and interact with solid objects of liquids, MIT notes in its official blog.

Potential applications of the system could allow industrial robots a refined touch. It could prove useful in personal robotics such as clay modelling or rolling sticky rice for sushi.