41 citations · 104 across the 35 of their papers we have counts for
6 papers · 1 filter
Prompt2Craft: Generating Functional Craft Assemblies with LLMs
Vitor Hideyo Isume, Takuya Kiyokawa, Natsuki Yamanobe +3
Inspired by traditional handmade crafts, where a person improvises assemblies based on the available objects, we formally introduce the Craft Assembly Task. It is a robotic assembl…
NeuralMeshing: Complete Object Mesh Extraction from Casual Captures
Floris Erich, Naoya Chiba, Abdullah Mustafa +4
How can we extract complete geometric models of objects that we encounter in our daily life, without having access to commercial 3D scanners? In this paper we present an automated…
Component Selection for Craft Assembly Tasks
Vitor Hideyo Isume, Takuya Kiyokawa, Natsuki Yamanobe +3
Inspired by traditional handmade crafts, where a person improvises assemblies based on the available objects, we formally introduce the Craft Assembly Task. It is a robotic assembl…
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation
Lukas Meyer, Floris Erich, Yusuke Yoshiyasu +3
We introduce Physically Enhanced Gaussian Splatting Simulation System (PEGASUS) for 6DOF object pose dataset generation, a versatile dataset generator based on 3D Gaussian Splattin…
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
Floris Erich, Naoya Chiba, Yusuke Yoshiyasu +3
We present NeuralLabeling, a labeling approach and toolset for annotating 3D scenes using either bounding boxes or meshes and generating segmentation masks, affordance maps, 2D bou…
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
Wim Abbeloos, Esra Ataer-Cansizoglu, Sergio Caccamo +2
Unsupervised object modeling is important in robotics, especially for handling a large set of objects. We present a method for unsupervised 3D object discovery, reconstruction, and…