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adversarial_skill_learning_for_robust_manipulation

ICRA2021-Adversarial Skill Learning for Robust Manipulation

baxter_go_grasp

baxter_hand_eye_calibrate

基于easy_handeye开源项目，对baxter双臂协作机器人进行手眼标定（Kinect v2眼在手外)

dex-net

Froked from BerkeleyAutomation / dex-net

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

easy_handeye

Automated, hardware-independent Hand-Eye Calibration

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

franka_ros_interface

[THIS PACKAGE IS NOT MAINTAINED ANYMORE. Please contact me if you are interested in taking over.] A ROS/Python API for controlling and managing the Franka Emika Panda robot (real and simulated).

fzi_icl_comm

fzi_icl_core

ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

go_grasp

使用UR5机械臂&AG95夹爪执行给定位姿的抓取

gpd

Detect 6-DOF grasp poses in point clouds

gpd_grasp_msgs

grasp msgs port from GPD package

gpd_ros

ROS wrapper around GPD

gpg

Generate grasp pose candidates in point clouds

hs_ppf

meshpy

Forked from BerkeleyAutomation/meshpy

panda_go_grasp

使用panda机械臂接收grasp pose，执行抓取和一些其他操作

panda_hand_eye_calibrate

基于easy_handeye开源项目，对Franka_panda进行手眼标定（Kinect v2眼在手外)

panda_moveit_config

The Panda robot is the flagship MoveIt integration robot

panda_server

安装于工控机端，直连panda的控制柜（科研版）

planar_grasp_detection

A ROS package that detects grasp rectangles from rgb image and converts that rectangle to gripper pose using depth image

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch

point_cloud_process

Point cloud pre-process for PointNetGPD & Kinect v2

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnetgpd

PointNetGPD实验复现与注释

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).