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activiti icon activiti

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

als_ros icon als_ros

An advanced localization system for ROS use.

aubodriver icon aubodriver

奥博5机器人驱动qt版_正反解_movj等i示例a代码_唐

costmap_prohibition_layer icon costmap_prohibition_layer

开源代码,魔改的支持数据库动态虚拟墙,支持虚拟墙动态刷新,支持代码中操作虚拟墙。

crow icon crow

Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)

demo_ur_write_ros icon demo_ur_write_ros

ros 通过视觉节点获取图像,tensorflow识别手写字,转成svga矢量图,计算svg坐标生成机器运动轨迹实现机器臂写字

full_coverage_path_planner icon full_coverage_path_planner

Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area

gazebo_ros_control icon gazebo_ros_control

(DO NOT USE THIS YET, SEE: https://github.com/ros-simulation/gazebo_ros_pkgs/issues/179) This is a ROS package for integrating the ros_control controller architecture with the Gazebo simulator.

hallo icon hallo

web mvc framework for python

handeyecalibration icon handeyecalibration

# 眼在手外相机标定 - Kinect2相机眼在手外标定 aubo机械臂 - CameraIntrinsicCalibration.cpp 内参标定 - CameraIntrinsicCalibration2.cpp 内参标定 - CameraIntrinsicFromFiles.cpp 内参标定写出数据 - HandToEyeCapture.cpp 数据采集保存图片及机械臂关节参数,方便HandToEyeCaptureAuto自动标定 - HandToEyeCalibration.cpp 眼在手外的机械臂外参标定 - HandToEyeCaptureAuto.cpp 眼在手外的机械臂自动标定 - HandToEyeVerify.cpp 眼在手外的标定验证 - HandToEyeVerify2.cpp 眼在手外的标定验证 - astra奥比中光相机眼在手上标定 aubo机械臂 - HandInEyeCapture.cpp 数据采集保存图片及机械臂关节参数,方便HandInEyeCaptureAuto自动标定 - HandInEyeCalibration.cpp 眼在手上的机械臂外参标定 - HandInEyeCaptureAuto.cpp 眼在手上的机械臂自动标定 - HandInEyeVerify.cpp 眼在手上外的标定验证 - HandInEyeVerify2.cpp 眼在手上的标定验证 - 具体眼在手外的机械臂标定操作操作 - 1.先进行图片采集 HandToEyeCapture.cpp - 2.CameraTotrinsicFromFiles.cpp 内参标定写出数据得到内参文件 [眼在外与眼在手上同一个代码标定内参,眼在手外读的是images文件夹,眼在手上读的是images2的文件夹] - 3.HandToEyeCaptureAuto.cpp 眼在手外的机械臂自动外参标定 - 4.HandToEyeVerify2.cpp 眼在手外的标定验证

indoorpos icon indoorpos

这是一个采用蓝牙4.0--iBeacon技术的室内定位服务端程序。

lng icon lng

液化石油气系统

proxygen icon proxygen

A collection of C++ HTTP libraries including an easy to use HTTP server.

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