KNOWIN founder explains generative embodied intelligence technology path at POWER Robot main venue

KNOWIN founder and CEO Li Yinchuan delivered a keynote at the main venue of the 2026 POWER Robot Future Conference, explaining a technology path that uses generative AI to rebuild the data paradigm for embodied intelligence and arguing for a shift from imitation to generation. The talk estimated that, benchmarked against GPT-3.5's 4T tokens training scale, embodied intelligence needs roughly 4 million hours of effective data; real-machine teleoperation would cost about 20-32 billion yuan, while a low-frame-rate video generation path could bring that down to 160-320 million yuan. KNOWIN has chosen the generative route, targeting deployment in home scenarios.