The PAI Lab at the Institute of AI for Industries, Chinese Academy of Sciences, focuses on physical and spatial intelligence, world models, neural simulation, embodied intelligence, and robotic manipulation and navigation.
Our faculty work on the foundations and applications of physical and spatial intelligence.
Research Interests
Physical and spatial intelligence · world models · neural simulation · embodied intelligence · robotic manipulation and navigation.
The PAI Lab Faculty
Zhaopeng Cui
Physical simulation
PhD, Simon Fraser University
Tiantian Liu
Physical simulation
PhD, University of Pennsylvania
Hang Zhao
Embodied intelligence
PhD, National University of Defense Technology
Zhibin Zhu
Embodied intelligence
PhD, Nankai University
Zhiyu Peng
Mechanistic modeling
PhD, Southeast University
Hewen Xiao
Embodied intelligence
PhD, Dalian University of Technology
Zihao Zhou
Physical simulation
M.Sc., Institute of Software, Chinese Academy of Sciences
Yong Han
Industrial embodied intelligence and team project management
Nanjing Normal University
Zihan Li
Scene reconstruction and 3D simulation
Nanjing University of Aeronautics and Astronautics
The PAI Lab Ph.D. Students
Hao Wang
3D vision
University of Science and Technology of China
Yuxing Huang
World models
National University of Defense Technology
Zhiyuan Yu
Dexterous manipulation
Wuhan University
Xuan Lv
World models
National University of Defense Technology
Zhigao Zeng
Whole body control
Wuhan University
Luodai Yang
Whole body control
Wuhan University
Ruosong Long
Physical simulation
Wuhan University
The PAI Lab Master's Students
Xin Zhang
3D vision
Nanjing University of Posts and Telecommunications
Xiaoxiao Feng
Physical simulation
University of Science and Technology of China
Tao Wang
World models
University of Science and Technology of China
Ziqiao Zhou
Physical intelligence
Wuhan University
Yanyang Han
Embodied intelligence
Nankai University
Xiaoyang Zhao
Factory world models
Tongji University
Juyan Xu
World models
National University of Defense Technology
The iGRAPE Lab
A one-sentence summary of our goal: we try to close the loop of acquisition, processing, understanding and generation of 3D geometric data with a data-driven approach. See this survey for the concept of the "data-driven loop".
We are recruiting. We are actively seeking self-motivated and well-trained students. If you are interested, email kevin.kai.xu (at) gmail.com.
Research Interests
Geometry processing · geometric modeling · data-driven shape analysis and modeling · 3D vision · autonomous 3D sensing · robot perception · world models · robotic manipulation and navigation.
