https://github.com/ami-iit/dynamical-planner

https://github.com/ami-iit/dynamical-planner

Science Score: 36.0%

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
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: ieee.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: ami-iit
  • License: bsd-3-clause
  • Language: C++
  • Default Branch: main
  • Size: 6.6 MB
Statistics
  • Stars: 6
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Dynamical Planner

DynamicalPlanner is a planner determines whole-body trajectories for a humanoid robot. Check the paper for a more thorough description.

Dependencies

  • iDynTree (Version >= 0.11.103) It needs the options IDYNTREE_COMPILES_OPTIMALCONTROL and IDYNTREE_USES_IRRLICHT set to ON. The latter is useful for the visualization.
  • Eigen3
  • matioCpp
  • FFmpeg
  • IPOPT It is suggested to install it from source, including the HSL solvers (please check https://coin-or.github.io/Ipopt/INSTALL.html)

Installation

The planner is compatible with Linux/macOS and Windows, but it has been mainly tested on Ubuntu 20.04.

bash git clone https://github.com/ami-iit/dynamical-planner cd dynamical-planner mkdir build && cd build cmake ../ make [sudo] make install

Run the tests

The data for the papers has been obtained by running the SolverUnitTest and SolverForComparisonUnitTest executables. They are available after setting the CMake variable BUILD_TESTING to ON.

Cite this work

tex @INPROCEEDINGS{9196801, author={S. {Dafarra} and G. {Romualdi} and G. {Metta} and D. {Pucci}}, booktitle={2020 IEEE International Conference on Robotics and Automation (ICRA)}, title={Whole-Body Walking Generation using Contact Parametrization: A Non-Linear Trajectory Optimization Approach}, year={2020}, volume={}, number={}, pages={1511-1517}, doi={10.1109/ICRA40945.2020.9196801}}

Owner

  • Name: Artificial and Mechanical Intelligence
  • Login: ami-iit
  • Kind: organization
  • Location: Italy

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 228
  • Total Committers: 2
  • Avg Commits per committer: 114.0
  • Development Distribution Score (DDS): 0.009
Past Year
  • Commits: 2
  • Committers: 2
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email Commits
Stefano s****a@g****m 226
Silvio Traversaro s****o@t****t 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.5
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • S-Dafarra (3)
  • traversaro (3)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/tests.yml actions
  • actions/checkout master composite
  • actions/upload-artifact v3 composite