RealSense and LimX Dynamics unveiled autonomous humanoid navigation at Nvidia GTC, highlighting 3D perception, Visual SLAM, ...

Wearables and robots are getting smarter at recognizing objects, following commands, and navigating spaces—but they still struggle with something humans ...

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 ...

Abstract: This article proposes a long-term dynamic object relocalization (L-DOR) solution to address the challenge of mobile robots efficiently relocalize task-related objects in human–robot ...

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 ...

RealSense demos safer humanoid navigation at NVIDIA GTC, using 3D vision and simulation to enable reliable real-world robot movement.

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 ...