Abstract: This article presents a method for learning well-coordinated human–robot interaction (HRI) from human–human interactions (HHI). We devise a hybrid approach using hidden Markov models (HMMs) ...
Abstract: Recent advancements in end-to-end imitation learning have shown promise in handling multi-stage robotic manipulation, which involves executing structured sequences of actions to achieve ...
Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...
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