One robot replacing a whole fleet of specialized machines? LimX Dynamics’ Tron 2 makes that science fiction dream a nearer ...

To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...

Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".

Abstract: The simplified vehicle model often results in inaccuracy with respect to the conventional model predictive control (MPC) as it causes steady error in ...

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 ...

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...

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 ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...