Forget YouTube videos—frontier physical AI models need multiple camera angles, dense annotation, and soon, brain wave ...

Singapore-based robotics data infrastructure firm Ropedia Pte. Ltd. today announced it raised $22 million in Pre-Series A ...

Ropdeia's HOMIE is a head-mounted device, equipped with a 360º camera view, that captures first-person data for training ...

Until now, researchers and startups building humanoid robots faced a critical challenge: no publicly available, large-scale, annotated motion dataset designed specifically for robotics. At GTC 2026, ...

Connecting the dots: AI has mostly been confined to the virtual world, but it is now learning from the physical mechanics of everyday life, driven by a global surge in data collection and annotation.

The launch combines a unified, action-oriented world model with Ambient Capture Engine 2.0, three commercial solutions ...

Two weeks ago, OpenAI said it would relaunch the robotics program it shuttered in 2021 — the latest signal that the biggest AI labs are racing to teach machines to operate in the physical world. But ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data is the source of intelligence for foundation models. The scaling of language models has shown that model capability depends heavily on both data scale and data quality. But robotics data is far ...

ACE ROBOTICS Kairos 3.1 marks a commercial milestone for SenseTime-backed Chinese embodied AI: retail, hotel, and outdoor ...