Hang Xu

Bridging the gap between human manipulation and robotic control, JoyAI-RA unlocks enhanced cross-embodiment behavior learning through multi-source pretraining.

Achieve 200x faster immersed boundary flow simulations without sacrificing accuracy by learning to correct coarse-grained physics simulations with a neural network.

Unlock multimodal interleaved generation in existing vision-language models without large interleaved datasets using a novel reinforcement learning approach with hybrid rewards.

Forget monolithic action decoders: AtomicVLA's skill-guided mixture-of-experts unlocks significant gains in long-horizon robotic manipulation and continual learning.