Laying the Foundation for Better Object Manipulation in Robotics
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Imagine a robot that can efficiently model clay, push ice cream onto a cone, or mold the rice for your sushi roll.MIT researchers developed a deep learning-based algorithm that improves a robot’s ability to mold materials into shapes, as well as enabling it to interact with liquids and solid objects.
At the crux of the work is a particle interaction network called (DPI-Nets). This network learns how small portions of different materials interact.
“We have demonstrated that a learned particle dynamics model can approximate the interaction of diverse objects, and can help to solve complex manipulation tasks of deformable objects,” the researchers said.
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