Xiaonan Huang

STEMbot can autonomously navigate under plant canopies, achieving high-fidelity pest detection where traditional methods fail.

Depth foundation models reveal surprising geometric ambiguities, with the same scene interpreted differently depending on the model and input transformation used.

LLMs can convert expensive robot design evaluations into reusable, auditable design principles by distilling search traces into explicit natural-language skill libraries.