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nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pybotics

The Python Toolbox for Robotics

python

All Algorithms implemented in Python

python-guide

Python best practices guidebook, written for Humans.

python-urx

Python library to control a robot from 'Universal Robots' http://www.universal-robots.com/

python_ur5_iksolver

Closed form IK solver for UR5

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonrobotics

Python sample codes for robotics algorithms.

ros

机器人操作系统ROS 语音识别 语义理解 视觉控制 gazebo仿真 雷达建图导航

ros-1

Python project for controlling the ABB IRB 2400L industrial robot

ros-study

🔥ROS(c++)机器人操作系统 学习（写于2020年夏）

ros_exploring

《ROS机器人开发实践》源码

ros_robotics_projects

Example codes of new book ROS Robotics Projects

spyder

Official repository for Spyder - The Scientific PYthon Development EnviRonment

tutorial_impedance-control-svyatoslavdm

tutorial_impedance-control-svyatoslavdm created by GitHub Classroom

universal_robots_ros_driver

Universal Robots ROS driver supporting CB3 and e-Series

ur10pickandplace

This is a simple Pick And Place Matlab Script using UR10 robotic arm in Vrep

ur5-control

ur5-drawing-project

Matlab code that can make a real UR5 robot draw on any plane within its workspace. Inverse as well as differential kinematics implemented. User's drawing can be given as input in real time. Can be used on the virtual UR5 in VREP.

ur5_control

Repo to control the UR5 Robot arm by TCP/IP Connection and ROS Melodic integration

ur5_manipulation

The goal of the project is to implement robotic agents that could rapidly build structures from random objects in a disaster/crisis situation to facilitate operation of other robotic agents, or fast and affordable accommodation of the injured groups, e.g. to facilitate operation of rescue agents in a post-earthquake situation. We are proposing a system that employs robotics manipulators (UR5 industrial arm equipped with a gripper in our experiments) to stack objects with arbitrary shapes to construct a rigid wall. Some of the challenges in this problem are: 1) Planning the optimal stacking order and relative placing of the objects 2) Reliable grasping and transporting of arbitrarily shaped objects 3) Accurate detection and localization of the arm and the objects The system is being implemented over ROS to connect to and control the UR5 arm, and MoveIt package is employed to perform collision aware trajectory planning for the manipulator/grasper set. A variety of objects with different shapes and features, e.g. deformability, are considered for the experiments.

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

zh-google-styleguide

Google 开源项目风格指南 (中文版)