In the Journal of Astronomical Telescopes, Instruments, and Systems, researchers report a comprehensive modernization of CHARA’s delay line control system that the team implemented with AZ Embedded ...

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 ...

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 ...

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

Using limited human motion data, researchers trained a humanoid robot to track fast balls and rally with humans in real time.

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

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 ...

Abstract: Robot–animal interaction has been gaining attention in neuroscience and robotics, which leverages biomimetic and robotic techniques to gain insight into rat individual and social behaviors.

Robotics has traditionally used modular pipelines. Perception, planning, and control sit in separate systems and connect through hand-tuned interfaces. This approach works for simple, well-defined ...