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 ...
Exclusive: Algorithms allegedly being used to study data of thousands of people, in project critics say is ‘chilling and dystopian’ The UK government is developing a “murder prediction” programme ...
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 ...
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