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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

cdl

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

continuum-learning

Continuum Learning with CLIP

curobo

CUDA Accelerated Robot Library

cvpr2020_gdnet

Segment Glass like objects

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

fewsol-dataloader

This repo hosts the PyTorch dataloader for FewSOL dataset

fewsol-toolkit

Toolkit for the FewSOL dataset

foundationpose

[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

gdrnpp_bop2022

PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22

gensdf

Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”

gqcnn

[DexNet] Python module for GQ-CNN training and deployment with ROS integration.

grasptrajopt

Trajectory optimization for grasping

handnet-pipeline

Hand Detection + Pose Estimation | https://arxiv.org/abs/2207.02959 | https://openreview.net/forum?id=OzP68WT3UA

hololens2researchtools

The research tools developed for HoloLens2

irvlutd.github.io

isaac_sim_grasping

First Grasping Projects in Isaac Sim

isaac_sim_moveit

MoveIt interface for Isaac Sim

megapose6d

Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

meta-dataset

A dataset of datasets for learning to learn from few examples

neuralgrasps-dataset-generation

Dataset generation for NeuralGrasps https://arxiv.org/abs/2207.02959

neuralgrasps-model

Model and associated utility code for NeuralGrasps https://arxiv.org/abs/2207.02959

omg-planner

An Optimization-based Motion and Grasp Planner

open_x_embodiment

partial_gensdf

Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”

posecnn-pytorch

PyTorch implementation of the PoseCNN framework.

posecnn-pytorch-nv-release

PyTorch implementation of the PoseCNN framework