Jingbo Wang
Jingbo Wang is a research scientist and team lead at Shanghai AI Lab, where he works on embodied intelligence, humanoid robotics, and sim-to-real transfer. He obtained his PhD from The Chinese University of Hong Kong in 2023, advised by Prof. Dahua Lin. He is known for his research on generalizable humanoid skill learning and locomotion control, as well as his earlier contributions to real-time semantic segmentation models such as BiSeNet V1 and V2.
“Lab/Institution: Shanghai Jiao Tong University; Why notable: This team is contributing to the foundational scaling recipes for humanoid control, bridging the gap between large-scale behavioral data and deployable real-world humanoid robots.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.