// PERSON
Jingjing Gong
AT ARXIV PHYSICAL AIMENTIONS 1LAST SEEN JULY 5, 2026
// BIO
Jingjing Gong is an assistant professor at the Shanghai Innovation Institute whose research focuses on embodied AI, large language models, and multimodal large language models. She is known for her work on robotic manipulation and vision-language-action models, including contributions to the RoboOmni framework for proactive robot intention recognition and the OmniAction dataset. She earned her PhD from Tsinghua University and previously served as a postdoctoral researcher.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
product·arXiv Physical AI·JULY 5, 2026
“ICWM enables robot policies to autonomously infer essential system variables from a short history of self-generated, task-agnostic interactions.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.