6 papers
Precise Top-Layer Fabric Segmentation for Fabric Destacking with Edge- and Shape-Aware Deep Networks
Wenbo Dong, Dipankar Bhattacharya, Akinari Kobayashi +6
Fabric destacking requires precise segmentation of the topmost fabric layer, a task complicated by subtle fabric boundaries and high visual similarity between fabric layers. Existi…
Robotic Fabric Alignment System for Sewing Using Global Local Weighted ICP
Wenbo Dong, Dipankar Bhattacharya Member, Kai Tang +5
Accurate fabric alignment is a critical step that must be performed before sewing. This paper presents a novel automated fabric alignment system. The system estimates the poses of…
RTFF: Random-to-Target Fabric Flattening Policy using Dual-Arm Manipulator
Kai Tang, Dipankar Bhattacharya, Hang Xu +3
Robotic fabric manipulation remains challenging due to fabric deformability and occlusions from wrinkles and the manipulator. This paper defines Random-to-Target Fabric Flattening…
Seam-to-Graph Reconstruction for Garment Configuration Alignment
Xuzhao Huang, Kai Tang, Fuyuki Tokuda +2
Seams encode rich structural information about garments but are frequently partially observable in robotic manipulation scenarios. To robustly leverage seam information, we propose…
Phase-Conditioned Imitation Learning with Autonomous Failure Recovery for Robust Deformable Object Manipulation
Dayuan Chen, Kai Tang, Yukuan Zhang +2
This paper presents a phase-conditioned, force-aware framework for robust deformable object manipulation. Standard imitation learning policies such as Action Chunking with Transfor…
Transformer Driven Visual Servoing for Fabric Texture Matching Using Dual-Arm Manipulator
Fuyuki Tokuda, Akira Seino, Akinari Kobayashi +2
In this paper, we propose a method to align and place a fabric piece on top of another using a dual-arm manipulator and a grayscale camera, so that their surface textures are accur…