World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Nvidia's Alpamayo sells autonomy to automakers terrified of the software future—Tesla remains the only robotaxi-committed ...

Currently deployed on 2,000+ trains, HMAX was first introduced by Hitachi Rail in 2024 as a comprehensive digital asset ...

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Abstract: The model predictive control (MPC) for matrix converters (MCs) typically requires multiple sensors and extensive computational resources to measure various quantities and evaluate control ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments. For additional details, please ...