More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

ACGRIME is an improved metaheuristic algorithm derived from the original RIME framework. ACGRIME integrates three strategic mechanisms: chaotic initialization, adaptive weighting and Gaussian mutation ...

This repository is publicly available on GitHub and provides full access to the source code required to reproduce all experiments reported in the manuscript. The source code has been archived on ...

Abstract: Optimization methods often face a trade-off between the fast convergence of second-order methods and the low computational cost of first-order methods. Motivated by the need to bridge this ...

According to @XPengMotors, the upcoming XPENG P7 features advanced AI-driven systems designed to optimize tire grip and driving stability in winter conditions, leveraging real-time sensor data and ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Thanks for your integration, it's great! I have one opportunity to extend or enhance (I'm not sure if that's a proper feature or an extension, I have not found a way to replicate with the existing ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, PR China Key Laboratory of Cleaning Dyeing and Finishing Technology of Zhejiang Province, Shaoxing ...