Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

Abstract: The configuration of most robotic systems lies in continuous transformation groups. However, in mobile robot trajectory tracking, many recent works still naively utilize optimization methods ...

g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.

Root Mean Square Error,Long Short-term Memory,Neural Network,Attention Mechanism,Model Predictive Control,Recurrent Neural Network,Control Input,Convolutional Neural Network,Deep Learning,Model ...