multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.

Features

  • Implements multi-agent pathfinding algorithms like prioritized planning
  • Avoids agent collisions in dynamic environments
  • Supports grid-based map representations for easy modeling
  • Includes visualization tools to observe agent movements
  • Configurable agents and map sizes for various scenarios

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Multi-Agent path planning in Python

Multi-Agent path planning in Python Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Multi-Agent path planning in Python!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python AI Agent Frameworks, Python Multi-Agent Systems, Python Multi-Agent Frameworks

Registered

2025-03-13