activity
20222025
most citedBunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 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

Object Pose Estimation through Dexterous Touch

Amir-Hossein Shahidzadeh, Jiyue Zhu, Kezhou Chen +4

Robust object pose estimation is essential for manipulation and interaction tasks in robotics, particularly in scenarios where visual data is limited or sensitive to lighting, occl…

cs.RO2025

ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

Ge Yan, Jiyue Zhu, Yuquan Deng +8

This paper introduces ManiFlow, a visuomotor imitation learning policy for general robot manipulation that generates precise, high-dimensional actions conditioned on diverse visual…

cs.RO2025

Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation

Jianglong Ye, Keyi Wang, Chengjing Yuan +6

Generating large-scale demonstrations for dexterous hand manipulation remains challenging, and several approaches have been proposed in recent years to address this. Among them, ge…

cs.RO2024★ 2 cited

Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning

Runyu Ding, Yuzhe Qin, Jiyue Zhu +5

Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots with bimanual dexterous hands remains a challenge. Existing teleoperation systems strugg…

cs.RO2023

TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation

Huijie Zhang, Anthony Opipari, Xiaotong Chen +3

Transparent objects present multiple distinct challenges to visual perception systems. First, their lack of distinguishing visual features makes transparent objects harder to detec…