Wenzhao Lian
Wenzhao Lian is a professor at Shanghai Jiao Tong University's School of Artificial Intelligence, where he focuses on intelligent robotics, dexterous manipulation, and machine learning. He previously served as Director of Robot Manipulation at Figure AI, a staff research scientist at Google X (Intrinsic), and a senior researcher at Vicarious AI. He received his Ph.D. in Electrical and Computer Engineering from Duke University in 2015 and is recognized for his work on sample-efficient robotic manipulation, including category-level manipulation from single demonstrations and offline-to-online reinforcement learning for dexterous VLA models.
“BORA solves a critical bottleneck in deploying dexterous robot hands — the gap between a VLA model that 'understands' a task visually and one that can actually execute it reliably with 20+ fingers and joints in the real world. It achieves an 86% average success rate on five real-world dexterous tasks, up from ~53% with pure imitation learning.”
Source→“we design a Human-in-the-Loop (HiL) intervention system following DexHiL.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.