New Delhi, Oct. 30 -- General-purpose artificial intelligence (AI) robotics could require an estimated 10 million hours of high-quality physical interaction data to reach production-level capabilities, highlighting the challenges in achieving commercial viability, even as technological progress in the sector is projected to be two to four times faster than the historical pace of autonomous driving technology, according to a report by Goldman Sachs.

The report, titled "China AI Robotics: Expert Call on Frontier Foundation Models in Physical AI & Embodied Robotics," highlighted that advances in frontier AI models are accelerating the development of intelligent robots, but limitations in physical interaction data, precision and processing s...