activity
20232026
most citedSMPLOlympics: Sports Environments for Physically Simulated Humanoids

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot

Fauna Robotics, :, Diego Aldarondo +48

Recent advances in learned control, large-scale simulation, and generative models have accelerated progress toward general-purpose robotic controllers, yet the field still lacks pl…

cs.CV2024

Mechanisms of Generative Image-to-Image Translation Networks

Guangzong Chen, Mingui Sun, Zhi-Hong Mao +2

Generative Adversarial Networks (GANs) are a class of neural networks that have been widely used in the field of image-to-image translation. In this paper, we propose a streamlined…

cs.RO2024

One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs

Jianren Wang, Kangni Liu, Dingkun Guo +2

Learning to manipulate dynamic and deformable objects from a single demonstration video holds great promise in terms of scalability. Previous approaches have predominantly focused…

cs.CV2024

Shape-Preserving Generation of Food Images for Automatic Dietary Assessment

Guangzong Chen, Zhi-Hong Mao, Mingui Sun +2

Traditional dietary assessment methods heavily rely on self-reporting, which is time-consuming and prone to bias. Recent advancements in Artificial Intelligence (AI) have revealed…

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…

cs.RO2023★ 1 cited

Learning Orbitally Stable Systems for Diagrammatically Teaching

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

Diagrammatic Teaching is a paradigm for robots to acquire novel skills, whereby the user provides 2D sketches over images of the scene to shape the robot's motion. In this work, we…