17 citations · 17 across the 6 of their papers we have counts for
6 papers
DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover
Youzhuo Wang, Jiayi Ye, Chuyang Xiao +6
Handover between a human and a dexterous robotic hand is a fundamental yet challenging task in human-robot collaboration. It requires handling dynamic environments and a wide varie…
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
Yufei Zhu, Yiming Zhong, Zemin Yang +4
Dexterous robotic hands often struggle to generalize effectively in complex environments due to the limitations of models trained on low-diversity data. However, the real world pre…
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness
Yiming Zhong, Qi Jiang, Jingyi Yu +1
A dexterous hand capable of grasping any object is essential for the development of general-purpose embodied intelligent robots. However, due to the high degree of freedom in dexte…
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
Yumeng Liu, Yaxun Yang, Youzhuo Wang +9
In this paper, we introduce RealDex, a pioneering dataset capturing authentic dexterous hand grasping motions infused with human behavioral patterns, enriched by multi-view and mul…
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang +6
We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which…
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection
Jiajin Tang, Ge Zheng, Jingyi Yu +1
Task driven object detection aims to detect object instances suitable for affording a task in an image. Its challenge lies in object categories available for the task being too div…