Design, simulate, and program interactive robots Key Features Design, simulate, build, and program an interactive autonomous mobile robot Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python Book Description Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implement different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package. What you will learn Design a differential robot from scratch Model a differential robot using ROS and URDF Simulate a differential robot using ROS and Gazebo Design robot hardware electronics Interface robot actuators with embedded boards Explore the interfacing of different 3D depth cameras in ROS Implement autonomous navigation in ChefBot Create a GUI for robot control Who this book is for This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You're expected to have a basic understanding of Linux commands and Python. Table of Contents Getting started with ROS Understanding basics of differential robots Modeling the Differential Drive Robot Simulating a Differential Drive Robot Using ROS Designing ChefBot Hardware and Circuits Interf

可运行的A star A* MATLAB 算法，包括地图显示。

资源为Matlab 2016B版本的robotics toolbox工具箱，使用时只需解压至matlab的toolbox安装路径即可使用！

Robotics, Vision and Control，内含代码和彩图，pdf内容完整

Mastering ROS for Robotics Programming - Second Edition,2018年出版！

工具箱，在matlab里对机械手进行仿真时用到，很方便，不用再去编复杂的程序。