Back

Projects

views | comments

Publications

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation

Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu, Yutong Liang, Mazeyu Ji, Jiyue Zhu, Zhao Dong, Xueyan Zou, Xiaolong Wang

arXiv preprint 2510.20813 • 2025

ROBOVERSE: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

Author List

Haoran Geng*, Feishi Wang*, Songlin Wei*, Yulong Li*, Bangjun Wang*, Boshi An*, Charlie Tianyue Cheng*, Haozhe Lou, Peihao Li, Yen-Jen Wang, Yutong Liang, Dylan Goetting, Chaoyi Xu, Haozhe Chen, Yuxi Qian, Yiran Geng, Jiageng Mao, Weikang Wan, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Jialiang Zhang, Chengyang Zhao, Haoran Lu, Yufei Ding, Ran Gong, Yuran Wang, Yuxuan Kuang, Ruihai Wu, Baoxiong Jia, Carlo Sferrazza, Hao Dong, Siyuan Huang, Koushil Sreenath, Yue Wang†, Jitendra Malik†, Pieter Abbeel†

Robotics: Science and Systems (RSS) • 2025

SimiSketch: A Sketching Algorithm for Similarity Estimation

Fenghao Dong, Yutong Liang*, Yang He*, Zirui Liu, Yuhan Wu, Peiqing Chen, and Tong Yang

arXiv preprint 2405.19711 • 2024

Research Projects

PhyMANO
PhyMANO

Simulate MANO in physics simulators.

Motion Matching on AMASS
Motion Matching on AMASS

A motion matching project on AMASS dataset.

Motion Guided Layout Design
Motion Guided Layout Design

Integrate human motion into indoor layout design for better navigation and comfort.

Personal Interest

PKU Treehole Starred Saver
PKU Treehole Starred Saver

Save your starred posts in Peking University Treehole.

Typst Thesis Template
Typst Thesis Template

Peking University Undergraduate Thesis Template in Typst.

IDV Evaluation
IDV Evaluation

Evaluate Account Value for NetEase Game: Identity V.

Course2Note

Convert course playbacks into comprehensive notes or cleaned transcripts.

My Course Review
My Course Review

Helpful Course Information for PKU Students.

Self Learning

Learning Rust
Learning Rust

Some notes and code about Rust.

Learning RL
Learning RL

Some notes and code about reinforcement learning.

Comment seems to stuck. Try to refresh?✨