Dream360's repositories
3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
aruco_ros
Software package and ROS wrappers of the Aruco Augmented Reality marker detector library
camera_calibration
Accurate geometric camera calibration with generic camera models
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
deep_grasp_demo
Deep learning for grasp detection within MoveIt.
dex-net
Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
easy_handeye
Automated, hardware-independent Hand-Eye Calibration
gazebo-pkgs
A collection of tools and plugins for Gazebo
gazebo_aruco_tag_generator
Script for generate aruco tags in gazebo simulator.
gpd_ros
ROS wrapper around GPD
image_pipeline
An image processing pipeline for ROS.
librealsense
Intel® RealSense™ SDK
manipulator-sim
A self-learning project based on OpenManipulator-x + TurtleBot3 simulation
moveit_grasps
Geometric grasping generator library for cuboids
moveit_task_constructor
A hierarchical, multi-stage manipulation planner and state machine with user interfaces
openMVS
open Multi-View Stereo reconstruction library
panda_moveit_config_noetic
Panda moveit config created using the setup assistant.
panda_simulation
Package for the dynamic simulation of the Franka Emika Panda robot arm in Gazebo
PanelsDrillSegmentation
CNN implementation of article 'Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network' by Rytis Augustauskas, Arūnas Lipnickas and Tadas Surgailis
Quadruped_bai_servo
Open source quadruped with feet sensor.
robot_sim
A ROS based Open Source Simulation Environment for Robotics Beginners
ros_controllers
Generic robotic controllers to accompany ros_control
usb_cam
A ROS Driver for V4L USB Cameras
vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.