Sanctuary AI, which creates physical artificial intelligence for general-purpose robots, revealed that its Phoenix general-purpose robots now incorporate new tactile sensor technology.
DARPA's RoQS initiative aims to develop resilient quantum sensors for defense, ensuring reliability in real-world environments without sacrificing sensitivity.
The Max Planck Institute's CUTE wearables utilize HASEL muscles to create varied tactile sensations, improving haptic feedback in consumer products.
Naviq is introducing the MTS160, a state-of-the-art magnetic guide sensor for mobile robots, featuring patented angle measurement capabilities with 1-degree precision and position accuracy within 1 mm.
TriEye, pioneer of the world's first cost-effective, mass-market Short-Wave Infrared (SWIR) sensing technology, announced today the release of the TES200 1.3 MP SWIR image sensor.
In a new study published in Light Science & Applications, a team of scientists led by Professor Zhenghua An from Fudan University, Yanru Song from ShanghaiTech University, and co-workers created a superconducting memlogic sensor that combines infrared sensitivity, memory retention, and reconfigurable logic computing, resulting in an all-in-one infrared memlogic sensor.
Mobile machines such as aerial work platforms, loader cranes and other construction vehicles and equipment with tough motion control applications demand robust sensors which deliver high precision and optimum reliability.
Researchers from China, in the World Electric Vehicle Journal, demonstrated how integrating LiDAR and camera data enhances object detection in autonomous vehicles. This fusion technique, using deep learning models PointPillars and YOLOv5, significantly improves detection accuracy in various conditions, ensuring safer and more efficient autonomous driving.
Chi Hwan Lee and his colleagues developed a smart neckband that tracks eating and drinking habits.
A recent study in Scientific Reports introduces a stochastic SEIRS model to dissect the intricate dynamics of worm transmission in wireless sensor networks (WSNs). By integrating environmental randomness, the research uncovers critical insights into malware propagation, paving the way for proactive control strategies to fortify network security against malicious attacks.
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