// PERSON
Jianlan Luo
ROLE CORRESPONDING AUTHOR / RESEARCHERAT AGIBOTMENTIONS 2LAST SEEN MAY 1, 2026
// BIO
Corresponding author on LWD paper; previously UC Berkeley; lead on SERL and real-world robot RL at scale.
// RECENT MENTIONS
// SIGNALS
2 SIGNALS
01
product·arXiv Physical AI·MAY 1, 2026
“This paper from AGIBOT Finch and Shanghai Innovation Institute presents a framework that turns a deployed robot fleet into a self-improving training system.”
Source→02
mention·arXiv Physical AI·MAY 1, 2026
“Luo et al. utilize a small number of human demonstrations to seed policy learning and then specialized a single robotic skill through real-world interaction.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.