2 citations · 3 across the 5 of their papers we have counts for
5 papers
Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation
Yu Zhang, Kangyi Ji, Yongxiang Zou +3
This paper presents an invertible neural network adapter for general robotic manipulation, designed to generate precise high-dimensional actions conditioned on multimodal observati…
PinPoint3D: Fine-Grained 3D Part Segmentation from a Few Clicks
Bojun Zhang, Hangjian Ye, Hao Zheng +4
Fine-grained 3D part segmentation is crucial for enabling embodied AI systems to perform complex manipulation tasks, such as interacting with specific functional components of an o…
A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation
Rongtao Xu, Jian Zhang, Minghao Guo +11
Robotic manipulation faces critical challenges in understanding spatial affordances--the "where" and "how" of object interactions--essential for complex manipulation tasks like wip…
InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction
Pengzhen Ren, Min Li, Zhen Luo +15
Realizing scaling laws in embodied AI has become a focus. However, previous work has been scattered across diverse simulation platforms, with assets and models lacking unified inte…
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Zhiqiang Wang, Hao Zheng, Yunshuang Nie +11
Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitation…