1 citations · 1 across the 5 of their papers we have counts for
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…
Automated Straight-line Sewing of Stretchable Fabrics with Different Lengths
Bingchen Jin, Akinari Kobayashi, Dipankar Bhattacharya +4
Different Length Alignment Sewing (DLAS), which involves stretching the shorter fabric to match the longer one and sewing them together in a straight line, is a challenging task th…
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…
SIS: Seam-Informed Strategy for T-shirt Unfolding
Xuzhao Huang, Akira Seino, Fuyuki Tokuda +5
Seams are information-rich components of garments. The presence of different types of seams and their combinations helps to select grasping points for garment handling. In this pap…