Data

Tools

Indexes

Applications

Experiments

Open Source Science

multirobotcarry

https://github.com/josyulakrishna/multirobotcarry

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.8%) to scientific vocabulary
Last synced: 11 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: josyulakrishna
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 40.5 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Multirobot Payload Transport with Deep Reinforcement Learning

In this project several centralized and decentralized methods for Multirobot Payload transport are explored there are two scenarios for the robots, A closed space with a target and a narrow passage way for the robots to carry payload to. The algorithms experimented are

The code can be found in the "examples" directory, Go ahead and explore all the methods you can find here!

  • Cenralized:

    • Proximal Policy Optimization(PPO)
    • Deep Determinstic Policy Gradients(DDPG)
    • Evolution Guided Policy GradientsPPO-ERL

  • Distributed :

    • MAPPO
    • MADDPG
    • Neurocoevolution
      • Hall Of Fame

Demo:

  • PPO-ERL: 3

  • PPO: 2

  • Evolutionary methods NES: 1

Project simulation is in PyBullet environment and depends on Generic URDF robots. I'm thankful to Max Spahn for his prompt responses and help in building the simulation environment.

Owner

  • Login: josyulakrishna
  • Kind: user
  • Location: Corvallis, Oregon
  • Company: Oregon State University

Art and Robots

Citation (CITATION.cff) 

cff-version: 1.2.0
title: Urdf-Environment
message: "If you use this software, please cite it as below."
type: software
authors:
  - given-names: 'Max '
    email: m.spahn@tudelft.nl
    family-names: Spahn
    orcid: 'https://orcid.org/0000-0002-9829-6991'
    affiliation: Creator
license: GPL-3.0
version: 1.0.0
doi: "10.4121/19362017"
url: "https://github.com/maxspahn/gym_envs_urdf"

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2