Nature

Closed loop iterative learning control for consistency tracking in lower limb rehabilitation robotic system with initial state deviations

In the research on consensus tracking control for Lower Limb Rehabilitation Robotic Systems (LLRRS), it is crucial to ensure that all state variables of the LLRRS, including initial state, angle, and ...

Every Organization Should Consider Becoming A Learning System

To thrive in the age of AI, organizations need to make learning a core capability, enabling people, and technologies to ...
Frontiers

Toward Lifelong Autonomy: Advancing Continual Robot Learning for Adaptable Intelligent Systems

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...
Nature

The potential of combined robust model predictive control and deep learning in enhancing control performance and adaptability in energy systems

This study investigates the integration of Robust Model Predictive Control (RMPC) and Deep Learning to enhance the performance and adaptability of energy systems, focusing on Combined Heat and Power ...