Teaching a robot to think is hard. Teaching it to move is even harder. That's the challenge Google DeepMind is trying to solve with Gemini Robotics 2, its latest family of AI models for robots.

Humanoid robots are being trained using 500 hours of recorded data from a person moving while wearing a camera on their neck and sensors on their body. Alibaba Group's research team announced in Octob ...

Humanoid robots are moving beyond laboratory demonstrations and carefully staged product launches into factories, warehouses ...

A wearable sensing system combines first-person video, body tracking, finger movements and tactile data to build a 100-hour dataset for training humanoid robots in real-world tasks.

Bipedal robots are attracting a lot of attention. They walk like humans, carry objects, and stand up when they fall. Every ...

Humanoid robots may be part of our future, but what we use them for partly depends on answers to very human questions: Do we trust them? Do we like them? According to one prediction, the mass-adoption ...

Google has introduced Gemini Robotics 2, a new robotics model designed to control entire humanoid robots, giving them the ability to walk, bend, balance, and manipulate objects while completing ...

Previously, RunBot’s inventors said the nearly 1-foot-tall machine could only walk forward on flat surfaces and would topple over when encountering a slope. But using an infrared eye, the robot can ...

The program, "Real-Time Human Perception via Edge-AI Wireless Sensor Fusion for Collaborative Robotics", runs from September ...