1 citations · 1 across the 9 of their papers we have counts for
9 papers
VTLoc: Learning-based Tactile Contact Localization in Visual Point Clouds
Zhiyuan Wu, Zhuo Chen, Shan Luo
Vision and touch are complementary modalities essential for robotic perception and manipulation. While vision provides global object context, touch offers precise local information…
UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors
Zhuo Chen, Fei Ni, Kaiyao Luo +7
Force sensing is essential for dexterous robot manipulation, but scaling force-aware policy learning is hindered by the heterogeneity of tactile sensors. Differences in sensing pri…
DiffMorphGrasp: A Diffusion Framework Conditioned on Hand Morphology for Cross-Embodiment Grasp Generation
Zhiyuan Wu, Xiangyu Zhang, Zhuo Chen +3
As robots are deployed across diverse environments, manipulation tasks require robot hands with different morphologies to satisfy varying task requirements, hardware capabilities,…
ViTacGen: Robotic Pushing with Vision-to-Touch Generation
Zhiyuan Wu, Yijiong Lin, Yongqiang Zhao +4
Robotic pushing is a fundamental manipulation task that requires tactile feedback to capture subtle contact forces and dynamics between the end-effector and the object. However, re…
CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang +3
Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial f…
ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations
Zhiyuan Wu, Yongqiang Zhao, Shan Luo
Vision and touch are two fundamental sensory modalities for robots, offering complementary information that enhances perception and manipulation tasks. Previous research has attemp…
CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction
Zhiyuan Wu, Xibin Song, Senbo Wang +8
3D object reconstruction from single-view image is a fundamental task in computer vision with wide-ranging applications. Recent advancements in Large Reconstruction Models (LRMs) h…
Training Tactile Sensors to Learn Force Sensing from Each Other
Zhuo Chen, Ni Ou, Xuyang Zhang +8
Humans achieve stable and dexterous object manipulation by coordinating grasp forces across multiple fingers and palms, facilitated by a unified tactile memory system in the somato…
ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
Chuanyu Li, Renjun Dang, Xiang Li +8
This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 202…