youmysteryy's starred repositories
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
universal_robot
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
handeye_calib_camodocal
Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
spatialmath-python
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
hand_eye_calibration
Python tools to perform time-synchronization and hand-eye calibration.
solidworks_urdf_exporter
SolidWorks to URDF Exporter
PointNetGPD
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
graspness_implementation
My implementation of Graspnet Graspness.
st_handeye_graph
General hand-eye calibration based on reprojection error minimization and pose graph optimization
RWHEC-Tabb-AhmadYousef
This code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..
CalibCamera
基于张正友标定法的单目相机标定理论到实践
handeye_calibration_with_depth_camera
hand eye calibration for depth camera with a calibration plate
Eye-to-Hand-Calibration
Eye-to-Hand Calibration，摄像机固定，与机器人基坐标系相对位置不变。且机器人末端在固定平面移动，即只需要求一个单应性矩阵的变换关系就行。
UR5_easyhandeye_D435i_Calibration
source code of ROS package good run in T440
hand_eye_cali_circle_segmentation
Code of the paper: A novel hand-eye semi-automatic calibration process for laser profilometers using machine learning