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Found 9 papers, 4 papers with code
Component Selection for Craft Assembly Tasks
It is a robotic assembly task that involves building an accurate representation of a given target object using the available objects, which do not directly correspond to its parts.
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation
We introduce Physically Enhanced Gaussian Splatting Simulation System (PEGASUS) for 6DOF object pose dataset generation, a versatile dataset generator based on 3D Gaussian Splatting.
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
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 bounding boxes, 3D bounding boxes, 6DOF object poses, depth maps, and object meshes.
Point Cloud Pre-Training With Natural 3D Structures
Moreover, the PC-FractalDB pre-trained model is especially effective in training with limited data.
Ranked #18 on
3D Object Detection
on SUN-RGBD val
(using extra training data)
Material Classification Using Active Temperature Controllable Robotic Gripper
One of the distinguishing features of each object's material is its heat properties, and classification can exploit heat transfer, similarly to human thermal sensation.
Selecting and Designing Grippers for an Assembly Task in a Structured Approach
In this paper, we present a structured approach of selecting and designing a set of grippers for an assembly task.
Robotics
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
We propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers.
Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks
In this paper, we address efficiently and robustly collecting objects stored in different trays using a mobile manipulator.
Robotics
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
We present a method for unsupervised 3D object discovery, reconstruction, and localization that exploits multiple instances of an identical object contained in a single RGB-D image.
