Zhuji Dynamics releases the FluxVLA Engine V2 technical report, enhancing the R&D efficiency of physical intelligence.

Zhuojì Power updates the second technical report of the open-source engineering base FluxVLA Engine. V2 supports 14 strategies for LIBERO evaluation on the simulation side, increases model path frequency by 2.31–9.64 times on the inference end, and verifies deployment links on real hardware platforms such as ALOHA and dual-arm Franka. Online reinforcement learning boosts SmolVLA's success rates in LIBERO-10 and RoboTwin Clean tasks by 10.0% and 15.4%, respectively.