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

Multi-Agent path planning in Python Screenshot 1

Project Activity

See All Activity >

Categories

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

License

MIT License

Follow Multi-Agent path planning in Python

Multi-Agent path planning in Python Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It 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
Report inappropriate content