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action-branching-agents

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

asis

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

autonomous-bin-picking

RLBench simulation project for autonomous bin picking using Pandas robot arm

bin-picking-dataset-generation

This repo generates bin picking datasets with clutter scenario

cloudpose

Code for "6D Object Pose Regression via Supervised Learning on Point Clouds" @ICRA2020

collision_detection

An open-source library for collision detection of the bounding boxes (AABB, OBB) useful for robotics applications.

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

convex_hull_3d

Incremental Convex Hull Algorithm and SAT Collision Detection for 3D Objects.

deep-rl-grasping

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

fpcc

graspness_unofficial

Unofficial implementation of ICCV 2021 paper "Graspness Discovery in Clutters for Fast and Accurate Grasp Detection"

graspnet-baseline

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

graspsampler

GraspSampler is a library that efficiently generates grasping datasets by quickly sampling millions of parallel-jaw grasps around specific target objects.

indusgrasp

This is the official implementation of our paper: "A Novel Robotic Grasp Detection Framework Using Low-Cost RGB-D Camera for Industrial Bin Picking."

isaacgymgrasp

IsaacGymGrasp runs a robot grasping physics simulator that can visualize, execute, and evaluate numerous robot grasps in simultaneous environments.

jsis3d

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

multi-contact-grasping

This project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pose_recovery_evaluation

Object detection and pose estimation toolbox, primarily designed for the Siléane Dataset:

ppr-net-plus

PPR-Net++: Accurate 6D Pose Estimation in Stacked Scenarios

pythonrobotics

Python sample codes for robotics algorithms.

ur5-manipulator-control

:pencil2: Simulation of UR5 robot assembly using vrep and python

ur5_vrep_python

Use python and Vrep to do the path planning for ur5 robot

vision-based-robotic-grasping

Related papers and codes for vision-based robotic grasping

ycb_video_toolbox

Toolbox for the YCB-Video dataset

zmqremoteapi