![]() Please be sure that your venv is active, otherwise you will install the package globally! Here I suppose you are in the directory that you created in the beginning in which you have the folder VisualSwarm that is the result of cloning the project.Ĭurrently the simulation-related changes are on a dedicated branch so first checkout to this branch with cd VisualSwarmĪs the simulation and the real robot version of the package is slightly different an additional setup_simulation.py script is is now visible on this new branch. You can see if the venv is activated as (VSWRMenv) is visible in your terminal in front of the command line. Install VisualSwarm in the virtual environmentĪfter activating the virtual environment we can install the package VisualSwarm in it locally. env/bin/pythonĪfter the last command you should see this. Create a new virtualenv for the projectĪfter the last command you should see this. ![]() One can create a venv for WeBots according to this very nice description which I will also copy here. On windows you might need to install git and git bash to be able to use git features. ![]() Install git if not yet installed and then use the following commands: //creating new folder Then simply clone the project in this folder. Clone VisualSwarmĪfter installing WeBots choose a folder where you are going to install everything related to VisualSwarm (clone directory, create virtualenv, etc.). On a Windows system just download the installer as stated here and follow the installation wizard. To install webots on an ubuntu system I suggest to use APT as stated in the step-by-step guide on webots' installation page. In this step-by-step guide I show how to install webots and more importantly how to start an example siulation on your system using VisualSwarm robot models. We chose to use WeBots as Thymio2 robot models are already implemented and ready to use here with an arbitrary controller that can be also written in python3. There are many simulation environments used in robotics on the market, such as Argos, ROS or WeBots. infere knowledge about the effects of changes in the physical environment and prepare to real experiments accordingly.acquire knowledge about the system in scenarios that are difficult to provide in reality (many robots, infinite space).proove desired control of the implemented controller algorithm.proove desired behavior of robot agents under physical constraints.A simulation environment is important to: ![]() Simulation environments provide a physical environment where one can create a model of physical objects and agents (Thymio2 robots). ![]()
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