A novel explainable machine learning model accurately differentiates essential tremor from cortical myoclonus using wearable ...

Recent advances in flexible bioelectronics enhance bio-tissue-electronic integration, addressing challenges like foreign body ...

Explore how countries worldwide are regulating drone use across commercial, recreational, and military sectors—covering ...

Researchers developed a solar-powered robotic foam that purifies water, combining light-driven movement with advanced photocatalytic and evaporative processes.

The POstick-KF and POstick-VF devices transform robotic teleoperation, integrating haptic feedback with digital twin technology for enhanced operational safety.

Servotecnica SpA has several years’ experience in customized design and manufacture of its SVTM series rotary actuators.

Research shows jellyfish can be controlled with electric pulses, enhancing swimming efficiency and enabling low-energy marine ...

This research aims to improve assistive robotics for dyspraxia, focusing on real-time adaptation to individual needs through ...

Investigating Krokodillen, Perseverance aims to analyze ancient Martian rocks, offering critical data on early environments ...

A study reveals machine learning models can predict dementia in Parkinson's patients, emphasizing the role of genetics and ...

Researchers developed the ADAPT Hand, achieving 93% success in grasping tasks by mimicking human-like compliance and ...

David Saldaña's research at Lehigh University aims to transform aerial robots, enabling them to adapt and manipulate flexible materials in real-time.