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abb

ROS-Industrial ABB meta-package (http://wiki.ros.org/abb)

apriltag

AprilTag is a visual fiducial system popular for robotics research.

aral_export

aubo_robot-release

awesome-robotics

A list of awesome Robotics resources

countdown

Gameshow watching, auto tweeting robot.

dynamics_calculation

basic calculation for decision about motor and reducer

force_control_assistant_tool

free-books

互联网上的免费书籍

handguidingexample

intera_sdk

Software Development Kit and Interface for Rethink Robotics robots

libccd

Library for collision detection between two convex shapes

minix1

Original Minix 1 sources from the book "Operating Systems: Design and Implementation" 1st ed.

moveit

The MoveIt! motion planning framework

mowei_agv

nim-game

Nim is a mathematical game of strategy in which two players take turns removing objects from distinct heaps. On each turn, a player must remove at least one object, and may remove any number of objects provided they all come from the same heap. Variants of Nim have been played since ancient times.[1] The game is said to have originated in China—it closely resembles the Chinese game of "Tsyan-shizi", or "picking stones"[2]—but the origin is uncertain; the earliest European references to Nim are from the beginning of the 16th century. Its current name was coined by Charles L. Bouton of Harvard University, who also developed the complete theory of the game in 1901,[3] but the origins of the name were never fully explained. The name is probably derived from German nimm meaning "take [imperative]", or the obsolete English verb nim of the same meaning.[4] Nim can be played as a misère game, in which the player to take the last object loses. Nim can also be played as a normal play game, which means that the person who makes the last move (i.e., who takes the last object) wins. This is called normal play because most games follow this convention, even though Nim usually does not.

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

octomap

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

opennurbs

OpenNURBS libraries allow anyone to read and write the 3DM file format without the need for Rhino.

openrave

Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.

performance_constraints

Manipulator Performance Constraints for Human-Robot Cooperation

picgo

pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

playground

Play with neural networks!

pure-bash-bible

📖 A collection of pure bash alternatives to external processes.

pydy

Multibody dynamics tool kit.

readme

README文件语法解读，即Github Flavored Markdown语法介绍

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

robotics_computational-motion-planning

This repository contains notes and assignment for the University of Pennsylvania/Coursera in the Robotics Specialization: Computational Motion Planning. If you are student in this course, please do not plagiarize this work as it violates the Honor Code.