Intelligent Robotics and Vision Lab at the University of Texas at Dallas's repositories
isaac_sim_grasping
Code repo for MultiGripperGrasp Dataset
Proto-CLIP
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
GraspTrajOpt
Trajectory optimization for grasping
SceneReplica
Code release for SceneReplica paper.
handnet-pipeline
Hand Detection + Pose Estimation | https://arxiv.org/abs/2207.02959 | https://openreview.net/forum?id=OzP68WT3UA
neuralgrasps-dataset-generation
Dataset generation for NeuralGrasps https://arxiv.org/abs/2207.02959
isaac_sim_moveit
MoveIt interface for Isaac Sim
fewsol-toolkit
Toolkit for the FewSOL dataset
UnseenObjectClustering
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
FewSOL-DataLoader
This repo hosts the PyTorch dataloader for FewSOL dataset
meta-dataset
A dataset of datasets for learning to learn from few examples
gdrnpp_bop2022
PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22
OMG-Planner
An Optimization-based Motion and Grasp Planner
PoseCNN-PyTorch-NV-Release
PyTorch implementation of the PoseCNN framework
posecnn-pytorch
PyTorch implementation of the PoseCNN framework.
3D-Diffusion-Policy
[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
bop_toolkit
A Python toolkit of the BOP benchmark for 6D object pose estimation.
BundleSDF
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
contact_graspnet
Efficient 6-DoF Grasp Generation in Cluttered Scenes
curobo
CUDA Accelerated Robot Library
CVPR2020_GDNet
Segment Glass like objects
fetch_ros_IRVL
Open ROS Components for Robots from Fetch Robotics/ IRVL Fetch Robot with ATI F/T sensor and deformable UMI fingers
FoundationPose
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
megapose6d
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
partial_gensdf
Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”