Conventional soft actuators are often limited by weak force, small displacement, and slow response. To overcome these ...

Abstract: Estimating angles for coherent signals remains a critical challenge in array signal processing. Traditional spatial smoothing techniques can recover the rank loss caused by signal coherence, ...

Neutral-atom arrays are a rapidly emerging platform to create quantum computers. In a foundational study led by graduate students Aaron Holman and Yuan Xu from the Will and Yu labs, respectively, the ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

These training opportunities are designed to empower professionals across North American industry. BIRMINGHAM, Ala., Nov. 12, 2025 – Motion Industries, Inc., a leading distributor of maintenance, ...

People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to make that happen. Yet every single step is an extraordinary act of ...

School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine University of Science and Technology of China, Hefei 230026, China Suzhou Institute of Biomedical Engineering and ...

Motion capture technology is a key enabler for the digitalization of the human body in VR/AR/MR, film production, and sports rehabilitation, and has attracted broad interdisciplinary attention.