6 citations · 12 across the 10 of their papers we have counts for
11 papers
FreeFly-Thinking : Aligning Chain-of-Thought Reasoning with Continuous UAV Navigation
Jiaxu Zhou, Shaobo Wang, Zhiyuan Yang +2
Vision-Language Navigation aims to enable agents to understand natural language instructions and carry out appropriate navigation actions in real-world environments. Most work focu…
FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy
Yijin Chen, Wenqiang Xu, Zhenjun Yu +4
Dexterous in-hand manipulation is a long-standing challenge in robotics due to complex contact dynamics and partial observability. While humans synergize vision and touch for such…
AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
Yizheng Zhang, Zhenjun Yu, Jiaxin Lai +2
We introduce AgentWorld, an interactive simulation platform for developing household mobile manipulation capabilities. Our platform combines automated scene construction that encom…
DexTOG: Learning Task-Oriented Dexterous Grasp with Language
Jieyi Zhang, Wenqiang Xu, Zhenjun Yu +3
This study introduces a novel language-guided diffusion-based learning framework, DexTOG, aimed at advancing the field of task-oriented grasping (TOG) with dexterous hands. Unlike…
Dynamic Reconstruction of Hand-Object Interaction with Distributed Force-aware Contact Representation
Zhenjun Yu, Wenqiang Xu, Pengfei Xie +4
We present ViTaM-D, a novel visual-tactile framework for reconstructing dynamic hand-object interaction with distributed tactile sensing to enhance contact modeling. Existing metho…
DiPGrasp: Parallel Local Searching for Efficient Differentiable Grasp Planning
Wenqiang Xu, Jieyi Zhang, Tutian Tang +3
Grasp planning is an important task for robotic manipulation. Though it is a richly studied area, a standalone, fast, and differentiable grasp planner that can work with robot grip…
MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
Pengfei Xie, Wenqiang Xu, Tutian Tang +2
This work proposes a novel learning framework for visual hand dynamics analysis that takes into account the physiological aspects of hand motion. The existing models, which are sim…
TacIPC: Intersection- and Inversion-free FEM-based Elastomer Simulation For Optical Tactile Sensors
Wenxin Du, Wenqiang Xu, Jieji Ren +2
Tactile perception stands as a critical sensory modality for human interaction with the environment. Among various tactile sensor techniques, optical sensor-based approaches have g…
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning
Zhenjun Yu, Wenqiang Xu, Siqiong Yao +5
This work presents a novel tactile perception-based method, named T-NT, for performing the needle-threading task, an application of deformable linear object (DLO) manipulation. Thi…
Visual-Tactile Sensing for In-Hand Object Reconstruction
Wenqiang Xu, Zhenjun Yu, Han Xue +3
Tactile sensing is one of the modalities humans rely on heavily to perceive the world. Working with vision, this modality refines local geometry structure, measures deformation at…
RFUniverse: A Multiphysics Simulation Platform for Embodied AI
Haoyuan Fu, Wenqiang Xu, Ruolin Ye +7
Multiphysics phenomena, the coupling effects involving different aspects of physics laws, are pervasive in the real world and can often be encountered when performing everyday hous…