https://github.com/advrhumanoids/kyon_actions
kyon actions
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.4%) to scientific vocabulary
Repository
kyon actions
Basic Info
- Host: GitHub
- Owner: ADVRHumanoids
- Language: Python
- Default Branch: master
- Size: 319 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Kyon Actions
This README provides instructions for setting up and using the kyon_actions package for replaying motion trajectories with XBotCore.
Pull kyonaction_ repo
bash
cd /xbot2_ws/recipes/multidof_recipes/recipes
git pull origin kyon-cetc
Grow kyonaction_ repo
Inside your xbot_ws:
bash
forest grow kyon_actions
Check Information of the Bag File
To inspect the .mat file containing the optimization output for the desired action, ready to be replayed on the robot:
bash
cd kyon_actions/
python3 replayer.py -f mat_files/action_paw.mat info
Replay the Trajectory
Note: Ensure that
xbot-coreis active and filters are set to medium or fast.
Move the robot to the homing position:
bash python3 replayer.py -f mat_files/action_paw.mat homingLaunch the controller:
bash mon launch kyon_actions controller_step_up.launchReplay the trajectory:
bash python3 replayer.py -f mat_files/action_paw.mat replay
Owner
- Name: ADVR Humanoids
- Login: ADVRHumanoids
- Kind: organization
- Email: luca.muratore@iit.it
- Location: Istituto Italiano di Tecnologia
- Website: https://www.iit.it/lines/humanoids-human-centered-mechatronics
- Repositories: 206
- Profile: https://github.com/ADVRHumanoids
Humanoids & Human Centered Mechatronics, HHCM, IIT
GitHub Events
Total
- Push event: 2
Last Year
- Push event: 2