Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in ...

Abstract: This article presents a sparse, low-memory footprint optimization algorithm for the implementation of model predictive control (MPC) for tracking formulation in embedded systems. This MPC ...

Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, battlefield decision-support engines, predictive logistics tools, ...

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...

The rising popularity of Bausch + Lomb's daily single-use contact lenses led to a massive manufacturing challenge. To keep up with demand, the company had to quickly expand capacity at two production ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...

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 ...

A variety of new technologies aim to improve wildfire detection and help map the spread of blazes Anna Fiorentino | Freelance writer Embers from the Eaton Fire fly down a residential street in ...