RobotArm-Simulator：Simulador de brazorobóticomanipulador serie Mitsubishi RV-2AJ midte interfazgráfizaQt en lenguaje de C ++

pybullet规划（ss-pybullet） PyBullet实用程序功能库，用于机器人运动计划，操纵计划以及任务和运动计划（TAMP）。 该存储库最初是为TAMP的 （以前称为 ）方法开发的。 在 Yijiang的帮助下，可以通过获得一个稳定且有据可查的ss-pybullet 。 但是，新功能将继续首先通过ss-pybullet引入。 引文 Caelan Reed Garrett。 PyBullet规划。 。 2018。 安装 使用以下命令在OS X或Linux上安装PyBullet： $ pip install numpy pybullet $ git clone --recurse-submodules https://github.com/caelan/ss-pybullet.git $ cd ss-pybullet $ git pull --recurse-submod

苏黎世联邦理工学院ROS课程 Programming for Robotics (ROS) Course 资料

rosnodejs 安装 npm install rosnodejs 启动一个节点 const rosnodejs = require('rosnodejs'); rosnodejs.initNode('/my_node') .then(() => { // do stuff }); 发布/订阅 const nh = rosnodejs.nh; const sub = nh.subscribe('/chatter', 'std_msgs/String', (msg) => { console.log('Got msg on chatter: %j', msg); }); const pub = nh.advertise('/chatter', 'std_msgs/String'); pub.publish({ data: "hi" }); UDP运输（实验性） const nh

Effective Robotics Programming with ROS - Third Edition English | 27 Dec. 2016 | ISBN: 1786463652 | 468 Pages | AZW3/MOBI/EPUB/PDF (conv) | 59.11 MB Find out everything you need to know to build powerful robots with the most up-to-date ROS About This Book This comprehensive, yet easy-to-follow guide will help you find your way through the ROS framework Successfully design and simulate your 3D robot model and use powerful robotics algorithms and tools to program and set up your robots with an unparalleled experience by using the exciting new features from Robot Kinetic Use the latest version of gazebo simulator, OpenCV 3.0, and C++11 standard for your own algorithms Who This Book Is For This book is suitable for an ROS beginner as well as an experienced ROS roboticist or ROS user or developer who is curious to learn ROS Kinetic and its features to make an autonomous Robot. The book is also suitable for those who want to integrate sensors and embedded systems with other software and tools using ROS as a framework. What You Will Learn Understand the concepts of ROS, the command-line tools, visualization GUIs, and how to debug ROS Connect robot sensors and actuators to ROS Obtain and analyze data from cameras and 3D sensors Use Gazebo for robot/sensor and environment simulation Design a robot and see how to make it map the environment, navigate autonomously, and manipulate objects in the environment using MoveIt! Add vision capabilities to the robot using OpenCV 3.0 Add 3D perception capabilities to the robot using the latest version of PCL In Detail Building and programming a robot can be cumbersome and time-consuming, but not when you have the right collection of tools, libraries, and more importantly expert collaboration. ROS enables collaborative software development and offers an unmatched simulated environment that simplifies the entire robot building process. This book is packed with hands-on examples that will help you program your robot and give you complete solutions using open source ROS libraries and tools. It also shows you how to use virtual machines and Docker containers to simplify the installation of Ubuntu and the ROS framework, so you can start working in an isolated and control environment without changing your regular computer setup. It starts with the installation and basic concepts, then continues with more complex modules available in ROS such as sensors and actuators integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, Computer Vision, perception in 3D with PCL, and more. By the end of the book, you'll be able to leverage all the ROS Kinetic features to build a fully fledged robot for all your needs. Style and approach This book is packed with hands-on examples that will help you program your robot and give you complete solutions using ROS open source libraries and tools. All the robotics concepts and modules are explained and multiple examples are provided so that you can understand them easily.

Microsoft_Robotics_Developer_Studio，机器人仿真开发与应用

乌鸦-运输网络 Ravens是PyBullet中模拟任务的集合，用于学习基于视觉的机器人操作，重点是拾取和放置。 它具有一个类似于Gym的API，具有10个桌面重排任务，每个任务都有（i）提供专家演示的脚本化oracle（用于模仿学习），以及（ii）提供部分学分的奖励功能（用于强化学习）。 （a）插入方块：拿起L形红色方块并将其放入L形夹具中。 （b）放在绿色中：拿起红色方块，将它们放入其他物体中的绿色碗中。 （c）河内塔：将磁盘从一个塔顺序移动到另一个塔-只有较小的磁盘可以位于较大的磁盘之上。 （d） align-box-corner ：拿起随机大小的盒子，将其一个角对准桌面上的L形标记。 （e） stack-block-pyramid ：按彩虹色顺序依次将6个块堆叠为3-2-1的金字塔。 （f）码垛箱：拿起均质的固定尺寸的箱，并将它们堆放在转盘上。 （g）组装工具包：拿起不同的物体并将

基于MATLAB Robotics Toolbox的四足机器人轨迹仿真与优化.pdf

机器人资料2

虚拟环境库，旨在帮助教授机器人技术的基本概念以及可重复使用的课程和其他机器人技术演示。 安装后可通过应用程序菜单获取 MATLAB APP 以帮助入门。 课程： - MATLAB 介绍- 基本的机器人动作-Simulink简介- 遥操作机器人控制- 编程距离传感器- 编程自定义行为- Stateflow 简介（流程图） - 解谜机器人 VEX Clawbot 模拟演示用于： - 遥操作与控制- 自主算法的模拟- 主动感知的自主行为 2020 年最佳机器人在线游戏 - 爆发- 键盘控制游戏模板- 用于手柄控制的游戏模板- 自主控制的游戏模板 如果您有任何问题，请随时通过 robotssarena@mathworks.com 与我们联系