UniCon: Universal Neural Controller For Physics-based Character Motion. - Tingwu Wang; Yunrong Guo; Maria Shugrina; Sanja Fidler (CoRR, 2020)

KAMA: 3D Keypoint Aware Body Mesh Articulation. - Umar Iqbal 001; Kevin Xie; Yunrong Guo; Jan Kautz; Pavlo Molchanov 001 (3DV, 2021)

Physics-based Human Motion Estimation and Synthesis from Videos. - Kevin Xie; Tingwu Wang; Umar Iqbal 001; Yunrong Guo; Sanja Fidler; Florian Shkurti (ICCV, 2021)

Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning. - Viktor Makoviychuk; Lukasz Wawrzyniak; Yunrong Guo; Michelle Lu; Kier Storey; Miles Macklin; David Hoeller; Nikita Rudin; Arthur Allshire; Ankur Handa; Gavriel State (NeurIPS Datasets and Benchmarks, 2021)

Factory: Fast Contact for Robotic Assembly. - Yashraj S. Narang; Kier Storey; Iretiayo Akinola; Miles Macklin; Philipp Reist; Lukasz Wawrzyniak; Yunrong Guo; Ádám Moravánszky; Gavriel State; Michelle Lu; Ankur Handa; Dieter Fox (Robotics: Science and Systems, 2022)

PADL: Language-Directed Physics-Based Character Control. - Jordan Juravsky; Yunrong Guo; Sanja Fidler; Xue Bin Peng (SIGGRAPH Asia, 2022)

ASE: large-scale reusable adversarial skill embeddings for physically simulated characters. - Xue Bin Peng; Yunrong Guo; Lina Halper; Sergey Levine; Sanja Fidler (ACM Trans. Graph., 2022)

Synthesizing Physical Character-Scene Interactions. - Mohamed Hassan 003; Yunrong Guo; Tingwu Wang; Michael J. Black; Sanja Fidler; Xue Bin Peng (SIGGRAPH (Conference Paper Track), 2023)

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. - Chen Tessler; Yoni Kasten; Yunrong Guo; Shie Mannor; Gal Chechik; Xue Bin Peng (SIGGRAPH (Conference Paper Track), 2023)

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Pooria Poorsarvi Tehrani; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; et al. (CoRR, 2023)

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. - Mayank Mittal; Calvin Yu; Qinxi Yu; Jingzhou Liu; Nikita Rudin; David Hoeller; Jia Lin Yuan; Ritvik Singh; Yunrong Guo; Hammad Mazhar; Ajay Mandlekar; Buck Babich; et al. (IEEE Robotics Autom. Lett., 2023)

Learning Physically Simulated Tennis Skills from Broadcast Videos. - Haotian Zhang 004; Ye Yuan 007; Viktor Makoviychuk; Yunrong Guo; Sanja Fidler; Xue Bin Peng; Kayvon Fatahalian (ACM Trans. Graph., 2023)

PACE: Human and Camera Motion Estimation from in-the-wild Videos. - Muhammed Kocabas; Ye Yuan 007; Pavlo Molchanov 001; Yunrong Guo; Michael J. Black; Otmar Hilliges; Jan Kautz; Umar Iqbal 001 (3DV, 2024)

SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation. - Jordan Juravsky; Yunrong Guo; Sanja Fidler; Xue Bin Peng (SIGGRAPH (Conference Paper Track), 2024)

MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. - Chen Tessler; Yunrong Guo; Ofir Nabati; Gal Chechik; Xue Bin Peng (ACM Trans. Graph., 2024)

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. - Zhengyi Luo 002; Chen Tessler; Toru Lin; Ye Yuan 007; Tairan He; Wenli Xiao; Yunrong Guo; Gal Chechik; Kris Kitani; Linxi Fan; Yuke Zhu (CoRR, 2025)