activity
20242026
most citedOpen-TeleVision: Teleoperation with Immersive Active Visual Feedback

4 citations · 10 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

The Neverwhere Visual Parkour Benchmark Suite

Ziyu Chen, Henghui Bao, Haoran Chang +12

State-of-the-art visual locomotion controllers are increasingly capable at handling complex visual environments, making evaluating their real-world performance before deployment in…

cs.RO2026

Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation

Yajvan Ravan, Adam Rashid, Alan Yu +8

We introduce Lucid-XR, a generative data engine for creating diverse and realistic-looking multi-modal data to train real-world robotic systems. At the core of Lucid-XR is vuer, a…

cs.RO2025

Humanoid Policy ~ Human Policy

Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng +12

Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot de…

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…

cs.RO2024

WildLMa: Long Horizon Loco-Manipulation in the Wild

Ri-Zhao Qiu, Yuchen Song, Xuanbin Peng +8

'In-the-wild' mobile manipulation aims to deploy robots in diverse real-world environments, which requires the robot to (1) have skills that generalize across object configurations…

cs.RO2024★ 4 cited

Open-TeleVision: Teleoperation with Immersive Active Visual Feedback

Xuxin Cheng, Jialong Li, Shiqi Yang +2

Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations. The intuitiveness and ease of use of the teleoperation syst…

cs.CV2024★ 3 cited

Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing

Ri-Zhao Qiu, Ge Yang, Weijia Zeng +1

Scene representations using 3D Gaussian primitives have produced excellent results in modeling the appearance of static and dynamic 3D scenes. Many graphics applications, however,…

cs.RO2024★ 2 cited

Expressive Whole-Body Control for Humanoid Robots

Xuxin Cheng, Yandong Ji, Junming Chen +3

Can we enable humanoid robots to generate rich, diverse, and expressive motions in the real world? We propose to learn a whole-body control policy on a human-sized robot to mimic h…

cs.RO2024★ 1 cited

Learning Generalizable Feature Fields for Mobile Manipulation

Ri-Zhao Qiu, Yafei Hu, Yuchen Song +8

An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation. The latter requires c…