Installation Before installing the simulation environment, make sure your desktop is setup with a standard installation of ROS Indigo on Ubuntu 14.04. Once your APT repositories are configured, you can install the simulator: >$ sudo apt-get update >…

Installation Before installing the simulation environment, make sure your desktop is setup with a standard installation of ROS Indigo on Ubuntu 14.04. Once your APT repositories are configured, you can install the simulator: >$ sudo apt-get update >…

1. Freight robot The Fetch and Freight Research Edition Robots are indoor laboratory robots. Coordinate System The coordinate frames for all links in the Fetch and Freight are defined with positive z-axis up, positive x-axis forward, and positive y-a…

3.  Network Setup Connecting Freight to a Monitor The easiest way to configure the wireless networking is to connect a monitor, keyboard, and mouse and use the Network Manager interface. Referencing the picture of Access Board in the previous post, w…

1. login ssh fetch@<robot ip or robot name> 2.  set robot master modify .bashrc in robot's computer using ssh export ROS_MASTER_URI=http://<robot ip or robot name>:11311 export ROS_IP=<robot ip> modify .bashrc in local computer export RO…

5.Logging In Once the robot is turned on and the robot is on the network, ssh into the computer of the robot using the default fetch user account: >$ ssh fetch@<robot_name_or_ip> robot_name_or_ip will be either an IPv4 network address, or a netwo…

Day 1: Setting up ROS: Indigo OS: Ubuntu 14.04 OS: Gazebo 7.0.0 Initialize the workspace To create the basic skeleton of the directory structure, we begin with a workspace {WORKSPACE}_ws, where we set {WORKSPACE}=mybot. cd ~ mkdir -p mybot_ws/src cd…

中文稍后补充,先上官方原版教程.ROS Kinetic 搭配 Gazebo 7 附件----官方教程 Tutorial: ROS integration overview As of Gazebo 1.9 and ROS Hydro, Gazebo no longer has any direct ROS dependencies and is now installed as an Ubuntu stand-alone package. Historically using Gazebo wi…

教程代码 First step with gazebo and ros • setup a ROS workspace • create projects for your simulated robot • create a Gazebo world • create your own robot model • connect your robot model to ROS • use a teleoperation node to control your robot • add a ca…

Apparently, this ongoing work is to make a preparation for futural research on Deep Reinforcement Learning. The goal of this work is to build a simulation platform that can insert the Deep Reinforcement Learning algorithms as a robot motion planning…