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Calibration tools for multi-sensor, multi-modal robotic systems
Feedback & wiki for Snipaste https://snipaste.com
Automated, hardware-independent Hand-Eye Calibration
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
My implementation of Graspnet Graspness.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
TidyBot: Personalized Robot Assistance with Large Language Models
General hand-eye calibration based on reprojection error minimization and pose graph optimization
Code of the paper: A novel hand-eye semi-automatic calibration process for laser profilometers using machine learning
jr-robotics / robotiq
Forked from ros-industrial/robotiqRobotiq packages (http:https://wiki.ros.org/robotiq)
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
Related papers and codes for vision-based robotic grasping
source code of ROS package good run in T440
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。
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
hand eye calibration for depth camera with a calibration plate
This code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..
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 an…
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
Python tools to perform time-synchronization and hand-eye calibration.
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)
Instant neural graphics primitives: lightning fast NeRF and more