2023 IEEE/RSJ International Conference on Intelligent Robots and Systems … Q Sun, H Wang, J Zhan, F Nie, X Wen, L Xu, K Zhan, P Jia, X Lang, ...

Doctor of Philosophy Mechanical Engineering, University of Victoria, 1996. M.S. Mechanical Engineering, Shanghai Jiao Tong University, 1986. The objective of my research is to bring the mechanical system to its highest level, being efficient, reliable and robust, and intelligent.

Tokyo City University, Professor Emeritus.

Welcome, I am Qiao Sun, a research assistant in MARS Lab at Tsinghua University and Shanghai QiZhi Institue, advised by Prof. Hang Zhao. I am interested in building realistic behavior simulations for motion prediction and planning systems for autonomous driving vehicles.

I am an undergraduate student at Massachusetts Institute of Technology, Class of 2028. My major is Artificial Intelligence and Decision Making (Course 6-4) and Mathematics (Course 18). Research: I am currently an UROP student under Kaiming He ’s computer vision group, where I work with Hanhong Zhao, Zhicheng Jiang, Yiyang Lu and Xianbang Wang.

Qiao Sun Pronouns: he/himUndergrad student, MIT CSAIL, Massachusetts Institute of Technology. Joined ; January 2025

We have developed models for multi-body systems' dynamics, cooperative robots with flexible links, parallel manipulators, hyper-redundant robots with binary actuators, and piezoelectric material's...

[1] Qiao Sun, Shiduo Zhang, Danjiao Ma, Jingzhe Shi, Derun Li, Simian Luo, Yu Wang, Ningyi Xu, Guangzhi Cao, Hang Zhao. Large Trajectory Models are Scalable Motion Predictors and Planners. arXiv preprint arXiv:2310.19620, 2023. [2] Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao. Boosting Offline Reinforcement Learning for

Asymmetric aminoazidation and diazidation of alkenes are straightforward strategies to build value‐added chiral nitrogen‐containing compounds from feedstock chemicals. They provide direct access to...

actions. Expanded pretrained video difusion models with additional depth and normal output channels, enabling spatially and temporally awared RGB-DN video generation for dynamic scene under. models. Employed novel guidance techniques and harnessed 500+ GPUs for eficient and precise annotation of depth and nor.