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https://github.com/amariucaitheodor/pddl-planner-backend

Lightweight python PDDL backend planner

https://github.com/amariucaitheodor/pddl-planner-backend

Science Score: 13.0%

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Keywords

falcon-framework planning-domain-definition-language python web-api
Last synced: 5 months ago · JSON representation

Repository

Lightweight python PDDL backend planner

Basic Info
  • Host: GitHub
  • Owner: amariucaitheodor
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 64.8 MB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
falcon-framework planning-domain-definition-language python web-api
Created almost 6 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

Backend Planner for PDDL (The Planning Domain Definition Language)

Lightweight implementation of cloud PDDL planner by Christian Muise, Simon Vernhes and Florian Pommerening.

See it in action!

Features:

  • Node.js was replaced with Falcon, a blazing fast, minimalist Python web API framework
  • Only essential planning utilities were retained
  • Codebase was updated from Python 2 to Python 3
  • Designed to work for specific origins only (see Access-Control-Allow-Origin in planner.py), therefore throttling was removed
  • Offers 2 different solvers

API endpoints:

  • /solve-and-validate accepts parameters domain (required), problem (required) and solver (optional, default is AGILE)

Acknowledgements:

  • AGILE solver is LAPKT-BFWS-Preference by Nir Lipovetzky, Miquel Ramírez, Guillem Francès, and Hector Geffner. Project by Nir Lipovetzky and Hector Geffner.
  • AGILE2 solver is SIW+-then-BFSf, as part of a configuration put forward by Nir Lipovetzky, Miquel Ramirez, and Christian Muise from the LAPKT planning framework. This configuration also includes a validator used by all solvers.

Contributors:

  • Theodor Amariucai

Owner

  • Name: Theodor Amariucai
  • Login: amariucaitheodor
  • Kind: user
  • Location: Zurich, Switzerland
  • Company: ETH Zurich

Interested in Algorithmics, Artificial Intelligence, Vision & Robotics, Natural Language Processing, Mobile App Development.

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