Xiaomi-Robotics-1: More Data Outperforms Larger Models in Robot Motion Training
Xiaomi trained its Robotics-1 model on over 100,000 hours of motion data collected by humans using camera-equipped handheld grippers. The results show that increasing the amount of training data led to greater performance improvements than increasing model size, although overall success rates are still low.
Why it matters: This challenges the common focus on scaling model size in robotics, highlighting the importance of data quantity for improving robot motion.
Full story at: The Decoder ↗