Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Abstract: Impedance control with fixed parameters lacks the flexibility to adapt to dynamic and uncertain environments, which may not meet the task requirements during robot-environment interaction.

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 ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: In this paper, a cooperative navigation method for multi-leader mode under short-term disturbed or missing condition of measurement information is proposed. The position information ...

Heat-related ED visits for extreme heat were generally higher in early summer than in late summer, suggesting the necessity to consider temporal changes in heat risk when developing nuanced and ...