Researchers have developed a self-tuning zeroing neural network with a dynamic adaptive gain and integral activation function ...

Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic ...

Even if a robot finds an object in front of it, that alone is not enough for it to move skillfully.Which way to turn, how to ...

Aiming to stay ahead in the robotics game, Tesla is constantly fine-tuning the new generation of its general-purpose, bi-pedal, humanoid robot Optimus. The Optimus can now navigate uneven terrain with ...

Figure’s latest humanoid experiment shows how robots could learn to handle unfamiliar rooms and objects without being retrained for every new home.

Live demo turns wrist muscle signals into real-time 3D hand digital twins and gesture-to-text commands — creating an on-device human-intent data layer for robotics Gestures into text, in real time.

Old Android phones gathering dust in drawers could soon have a second career as ...

The Company will showcase its new technology that complements vision with human intent data to address challenges in training humanoid hands at the Physical AI 2026 conference in Tel Aviv YOKNEAM ...

Pokémon Go scans now guide Coco Robotics delivery robots through city streets, raising real questions about bystander privacy ...