The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Abstract: We propose a new approach to solving the problem of intention estimation in human-robot teleoperation for assembly tasks, which includes task estimation and action prediction. Our approach ...
If you are planning a trip through several cities and want to find the shortest route, you resort to algorithms, a well-defined sequence of deterministic operations. This article accompanies the ...
GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...
Abstract: Post-training quantization (PTQ) is an effective solution for deploying deep neural networks on edge devices with limited resources. PTQ is especially attractive because it does not require ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results