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This project forked from tripandham/multi-agent-path-finding-motion-planning

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Hybrid decoupled path planning stack for Multi Agent Systems in Search and Rescue operations using Reciprocal Obstacles

Python 100.00%

multi-agent-path-finding-motion-planning's Introduction

  • Install Webots
  • Open the mapf.wbt world from the Worlds directory
  • Launch the 4 controllers as extern controllers by adding the following aliases to bashrc : export WEBOTS_HOME=/usr/local/webots alias admin='$WEBOTS_HOME/webots-controller --robot-name=Admin /home/navin/catkin_ws/src/Multi-Agent-Path-Finding-Motion-Planning/Webots_Scripts/admin.py' alias agent1='$WEBOTS_HOME/webots-controller --robot-name=Agent1 /home/navin/catkin_ws/src/Multi-Agent-Path-Finding-Motion-Planning/Webots_Scripts/agent1.py' alias agent2='$WEBOTS_HOME/webots-controller --robot-name=Agent2 /home/navin/catkin_ws/src/Multi-Agent-Path-Finding-Motion-Planning/Webots_Scripts/agent2.py' alias agent3='$WEBOTS_HOME/webots-controller --robot-name=Agent3 /home/navin/catkin_ws/src/Multi-Agent-Path-Finding-Motion-Planning/Webots_Scripts/agent3.py'
  • change the controller path according to the file you want to use, agent for vanilla rrt* and path tracking, agent_rvo for windowless RVO, agent<agent_num>_local for windowed RVO
  • execute the 4 aliases in 4 instances of the terminal window, voila!

multi-agent-path-finding-motion-planning's People

Contributors

n47in avatar akulsylvania avatar tripandham avatar

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