https://github.com/advrhumanoids/cartesio_planning

Package for whole body sampling based planning

https://github.com/advrhumanoids/cartesio_planning

Science Score: 13.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Package for whole body sampling based planning

Basic Info
  • Host: GitHub
  • Owner: ADVRHumanoids
  • Language: C++
  • Default Branch: master
  • Size: 106 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 18
  • Releases: 0
Created almost 7 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

cartesio_planning

Package for whole body sampling based planning

ompl_test

  • upload URDF & SRDF to param server (braccetto)
  • rosrun robot_state_publisher robot_state_publisher
  • run executable ./ompl_test _is_model_floating_base:=false
  • rviz

Owner

  • Name: ADVR Humanoids
  • Login: ADVRHumanoids
  • Kind: organization
  • Email: luca.muratore@iit.it
  • Location: Istituto Italiano di Tecnologia

Humanoids & Human Centered Mechatronics, HHCM, IIT

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Push event: 23
Last Year
  • Issues event: 1
  • Watch event: 2
  • Push event: 23

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 24
  • Total pull requests: 2
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 2 hours
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 0.92
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 2 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 2.33
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • lucarossini-iit (8)
  • alaurenzi (7)
  • EnricoMingo (4)
  • torydebra (3)
Pull Request Authors
  • torydebra (4)
Top Labels
Issue Labels
enhancement (8) bug (3)
Pull Request Labels