activity
20242026
most citedSMPLOlympics: Sports Environments for Physically Simulated Humanoids

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

GPC: Large-Scale Generative Pretraining for Transferable Motor Control

Yi Shi, Yifeng Jiang, Chen Tessler +1

Developing controllers capable of completing a wide range of tasks in a natural and life-like manner is a key challenge in enabling practical applications of physics-based characte…

cs.CV2026

Kimodo: Scaling Controllable Human Motion Generation

Davis Rempe, Mathis Petrovich, Ye Yuan +21

High-quality human motion data is becoming increasingly important for applications in robotics, simulation, and entertainment. Recent generative models offer a potential data sourc…

cs.RO2025

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning

Zhengyi Luo, Chen Tessler, Toru Lin +8

Human behavior is fundamentally shaped by visual perception -- our ability to interact with the world depends on actively gathering relevant information and adapting our movements…

cs.RO2025

MaskedManipulator: Versatile Whole-Body Manipulation

Chen Tessler, Yifeng Jiang, Erwin Coumans +3

We tackle the challenges of synthesizing versatile, physically simulated human motions for full-body object manipulation. Unlike prior methods that are focused on detailed motion t…

cs.GR2025

HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos

Jiashun Wang, Yifeng Jiang, Haotian Zhang +4

Data-driven methods leveraging deep reinforcement learning have become the dominant paradigm for developing controllers that enable physically simulated characters to produce natur…

cs.LG2024

Learning to Move Like Professional Counter-Strike Players

David Durst, Feng Xie, Vishnu Sarukkai +9

In multiplayer, first-person shooter games like Counter-Strike: Global Offensive (CS:GO), coordinated movement is a critical component of high-level strategic play. However, the co…

cs.RO2024★ 1 cited

SMPLOlympics: Sports Environments for Physically Simulated Humanoids

Zhengyi Luo, Jiashun Wang, Kangni Liu +9

We present SMPLOlympics, a collection of physically simulated environments that allow humanoids to compete in a variety of Olympic sports. Sports simulation offers a rich and stand…