Stone Tao
Stone Tao is a PhD student in Computer Science and Engineering at the University of California, San Diego, advised by Hao Su and Henrik Christensen. He is the lead author and creator of ManiSkill3, a GPU-parallelized robotics simulation framework for generalizable embodied AI. He has held research internships at NVIDIA, the Allen Institute for AI (AI2), and Physical Intelligence, and is a co-founder of the Lux AI Challenge. His research focuses on simulation, reinforcement learning, and sim-to-real transfer for robotic manipulation.
“Stone Tao 1,2 - First author of the paper. His work bridges academic research (UCSD) with industrial application (NVIDIA), focusing on GPU-parallelized simulation (ManiSkill3) and sim-to-real transfer.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.