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A new technique gives animators the flexibility to see how different mathematical functions deform complex 2D or 3D characters, and lets them choose the function that best fits their vision for the animation.
MIT researchers have developed a system that enables a robot to learn a new pick-and-place task based on only a handful of human examples. This could allow a human to reprogram a robot to grasp never-before-seen objects, presented in random poses, in about 15 minutes.
With e-commerce orders pouring in, a warehouse robot picks mugs off a shelf and places them into boxes for shipping. Everything is humming along, until
17 new professors join the MIT School of Engineering community, with research areas ranging from robotics and machine learning to health care and agriculture.
Researchers at MIT and elsewhere have demonstrated a novel technique that vastly increases the speed of rendering 3D scenes from images by using a neural network to reconstruct the 360-degree light field of the underlying 3D scene.