New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.

A new robotics sensing architecture combines radar, AI compute and real-time control technologies to improve 3D perception and accelerate safe deployment of humanoid robots in real-world environments.

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

At least 57 nations have live antipersonnel land mines in their territories. In 2024 alone, 1,945 people were killed by mines ...

Cutting-Edge Precision with Unmatched Laser Irradiation Density for Parallax-Free, Long-Distance Obstacle Detection Ideal for Autonomous Driving Images detected by Camera-LIDAR Fusion Sensor (Graphic: ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...

TDK Corporation announces its participation in Embedded World 2026, held from March 10 to March 12 in Nuremberg, Germany. At ...

Imagine walking in an area unknown to you — blindfolded. The chances that you are going to hit something are very high. And that’s exactly what robots would face if not equipped with sensors. Using ...

The ability to detect human presence can be a pretty powerful attribute for a number of devices. Versions of this technology have been around for quite some time, but artificial intelligence and ...