Frontline Systems Launches RASON® Desktop: Brings Simulation, Optimization, Decision Intelligence Directly into Power BI

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

GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking

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 ...
GitHub

g2o - General Graph Optimization

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 ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

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

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Try out the examples in the examples folder using the binder service. The package can also be installed on Google Colab using the commands: The easiest way to get started with the Control Systems ...
LinkedIn

hayk martiros’ Post

I'm excited to share the v0.6 release of the SymForce library for symbolic computation, code generation, and nonlinear optimization for robotics. Since the initial release, we've added large ...
IEEE

Yiqi Liu

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 ...