multi_agent_path_planning VS PathPlanning

Compare multi_agent_path_planning vs PathPlanning and see what are their differences.

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multi_agent_path_planning PathPlanning
1 2
685 5,842
- -
0.0 0.0
2 months ago 4 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of multi_agent_path_planning. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning multi_agent_path_planning yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of PathPlanning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-11.
  • Can you please recommend me some resources on D* algorithm?
    2 projects | /r/ROS | 11 Jun 2021
    There is also a github repo I starred a while back that has a good amount of path planning algorithms in python, D* included:
  • How to implement concurrent motion planning algorithms?
    2 projects | /r/robotics | 20 Mar 2021
    Do you need available algorithms in C++? Just Google "GitHub path planning algorithms C++". Otherwise, I do research on these algorithms and know about a good GitHub here: In Python. I recommend adding visualizations, random generator seeding, and unit tests that compare algorithms to make sure you've implemented them all correctly. Let me know if you need good papers, but in particular I like an RRT variant by Sidd Srinivasa's group from 2014. Original RRT papers are from LaValle

What are some alternatives?

When comparing multi_agent_path_planning and PathPlanning you can also consider the following projects:

Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

PythonRobotics - Python sample codes for robotics algorithms.

Mava - 🦁 A library of multi-agent reinforcement learning systems and components