// PERSON
Bowen Jiang
ROLE LEAD AUTHORMENTIONS 1LAST SEEN JULY 3, 2026
// BIO
Bowen Jiang is a PhD student at the University of Texas at Austin whose research focuses on dexterous manipulation and reinforcement learning. He is best known as the lead author of the HACMan and HACMan++ frameworks, which introduce spatially-grounded, object-centric action representations for 6D non-prehensile robotic manipulation. Prior to his current role, he completed his Master's degree at the Carnegie Mellon University Robotics Institute, where he developed reinforcement learning approaches for manipulation tasks.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·JULY 3, 2026
“Bowen Jiang: Lead author of the paper, driving the integration of VLMs with constrained optimization and RL for dexterous manipulation”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.