maestro-x

Automating UAV-Relay Swarms

https://github.com/bharathkeshavamurthy/maestro-x

Science Score: 49.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary

Keywords

non-terrestrial-networks optimization-algorithms wireless-communications
Last synced: 6 months ago · JSON representation

Repository

Automating UAV-Relay Swarms

Basic Info
  • Host: GitHub
  • Owner: bharathkeshavamurthy
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 252 MB
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 2
Topics
non-terrestrial-networks optimization-algorithms wireless-communications
Created almost 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme Citation

README.md

MAESTRO-X

Distributed Orchestration of Rotary-Wing UAV-Relay Swarms via Semi-Markov Decision Processes (SMDPs)

Multiscale Adaptive Energy-conscious Scheduling and TRajectory Optimization (eXtended)

Asilomar 2022 | arXiv: https://doi.org/10.48550/arXiv.2209.07655

TCCN 2023 | arXiv: https://arxiv.org/abs/2007.01228

Modeling, Dev Sheets, and Schematics: ~/logs/dev

v1.0 | DOI

v2.0 | DOI

Owner

  • Name: Bharath Keshavamurthy
  • Login: bharathkeshavamurthy
  • Kind: user
  • Location: Tempe, AZ | West Lafayette, IN
  • Company: Arizona State University | Purdue University

Graduate Research Assistant | EE PhD

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