Significant focus on ultra-low latency in autonomous systems is forcing a massive migration of neural networks directly onto microcontrollers at the edge. Embedded AI market accelerates as real-time ...

Robotics has moved far beyond simple mechanical machines performing repetitive tasks. In 2026, robots are becoming intelligent assistants that can move, analyze environments, interact with people, and ...

Aeva® (Nasdaq: AEVA), a leader in next-generation sensing and perception systems, today announced the introduction of Aeva ...

A Zürich-based team has successfully condensed complex 4D sensing technology — once too bulky for everyday use — onto a single silicon chip.

Robots have gotten exceptionally good at specialized tasks—vacuuming floors, stacking boxes, welding parts, or navigating controlled warehouses. Yet the dream ...

VR Headset Unsplash . Researchers have developed a new system that uses smartphones instead of specialized motion-tracking hardware to create more realistic avatar movement in vir ...

egoPPG is a novel vision task for egocentric systems to recover a person’s cardiac activity to aid downstream vision tasks. Our method, PulseFormer continuously estimates the person’s ...

Abstract: Robotic autonomy at centimeter scale requires compact and miniaturization-friendly actuation integrated with sensing and neural network processing assembly within a tiny form factor.

Stellantis is an automotive manufacturing company that operates 34 assembly plants and other facilities across the United States. One of those facilities is the Sterling Heights Assembly Plant in ...

Abstract: Autonomous aerial target tracking in unstructured and GPS-denied environments remains a fundamental challenge in robotics. Many existing methods rely on motion capture systems, pre-mapped ...