Yan Huang
Yan Huang is an Associate Professor at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. Her research expertise spans large multimodal models and vision-language navigation, with recent work including BridgeVLA, a method for input-output alignment in efficient 3D manipulation learning with vision-language models. She has been affiliated with the Institute of Automation since 2019.
“We introduce XEWorld, a controlled cross-embodiment testbed for world models that isolates embodiments by evaluating held-out robots within physically identical scenes”
Source→“They have developed a highly practical, plug-and-play enhancement for VLA models that requires no architectural changes.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.