most citedGraspSplats: Efficient Manipulation with 3D Feature Splatting

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

cs.RO2025

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

Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu +6

This paper presents GSWorld, a robust, photo-realistic simulator for robotics manipulation that combines 3D Gaussian Splatting with physics engines. Our framework advocates "closin…

cs.RO2025

GMT: General Motion Tracking for Humanoid Whole-Body Control

Zixuan Chen, Mazeyu Ji, Xuxin Cheng +3

The ability to track general whole-body motions in the real world is a useful way to build general-purpose humanoid robots. However, achieving this can be challenging due to the te…

cs.CV2025

Visual Acoustic Fields

Yuelei Li, Hyunjin Kim, Fangneng Zhan +7

Objects produce different sounds when hit, and humans can intuitively infer how an object might sound based on its appearance and material properties. Inspired by this intuition, w…

cs.RO2025

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation

Yuelei Li, Ge Yan, Annabella Macaluso +3

The recent advancements in visual reasoning capabilities of large multimodal models (LMMs) and the semantic enrichment of 3D feature fields have expanded the horizons of robotic ca…

cs.RO2024

ExBody2: Advanced Expressive Humanoid Whole-Body Control

Mazeyu Ji, Xuanbin Peng, Fangchen Liu +4

This paper tackles the challenge of enabling real-world humanoid robots to perform expressive and dynamic whole-body motions while maintaining overall stability and robustness. We…

cs.RO2024

Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control

Chenhao Lu, Xuxin Cheng, Jialong Li +6

Humanoid robots require both robust lower-body locomotion and precise upper-body manipulation. While recent Reinforcement Learning (RL) approaches provide whole-body loco-manipulat…