duallqr
Official implementation of the paper 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'. Work submitted to ICRA 2025.
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○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 (5.7%) to scientific vocabulary
Repository
Official implementation of the paper 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'. Work submitted to ICRA 2025.
Basic Info
- Host: GitHub
- Owner: WUR-ABE
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Homepage: https://arxiv.org/abs/2409.16957
- Size: 445 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration

DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration\ Robert van de Ven, Ard Nieuwenhuizen, Eldert J. van Henten, and Gert Kootstra\ Paper: https://arxiv.org/abs/2409.16957 \ Video: https://youtu.be/2bY84MN53tA
About
Official implementation of the paper 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'. Work submitted to ICRA 2025. This repository contains the code of the DualLQR, code for testing, and code for analysis.
Usage
The folder simulation_experiments contains the scripts used to perform the simulation experiments. \
The folder apple_grasping_experiments contains the scripts used to perform the apple grasping experiments. It does not include the hand-eye calibration of the OptiTrack system. \
The folder analysis_experiments contains the scripts used to analyze both experiments, containing sub-folders for each experiment.
Citation
@misc{vandeven2024duallqrefficientgraspingoscillating,
title={DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration},
author={Robert van de Ven and Ard Nieuwenhuizen and Eldert J. van Henten and Gert Kootstra},
year={2024},
eprint={2409.16957},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2409.16957},
}
Owner
- Name: Wageningen University & Research - Agricultural Biosystems Engineering
- Login: WUR-ABE
- Kind: organization
- Location: Netherlands
- Website: https://www.wur.nl/en/research-results/chair-groups/plant-sciences/agricultural-biosystems-engineering.htm
- Repositories: 1
- Profile: https://github.com/WUR-ABE
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite both the article from preferred-citation and the software itself.
authors:
- family-names: van de Ven
given-names: Robert
orcid: 'https://orcid.org/0009-0005-6483-6231'
- family-names: Nieuwenhuizen
given-names: Ard
orcid: 'https://orcid.org/0000-0002-8525-8558'
- family-names: van Henten
given-names: Eldert J.
orcid: 'https://orcid.org/0000-0002-1623-9855'
- family-names: Kootstra
given-names: Gert
orcid: 'https://orcid.org/0000-0002-2579-4324'
title: 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'
version: 1.0.0
url: https://arxiv.org/abs/2409.16957
date-released: '2024-09-26'
preferred-citation:
authors:
- family-names: van de Ven
given-names: Robert
orcid: 'https://orcid.org/0009-0005-6483-6231'
- family-names: Nieuwenhuizen
given-names: Ard
orcid: 'https://orcid.org/0000-0002-8525-8558'
- family-names: van Henten
given-names: Eldert J.
orcid: 'https://orcid.org/0000-0002-1623-9855'
- family-names: Kootstra
given-names: Gert
orcid: 'https://orcid.org/0000-0002-2579-4324'
title: 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'
url: https://arxiv.org/abs/2409.16957
type: generic
year: '2024'
GitHub Events
Total
- Watch event: 2
- Push event: 1
Last Year
- Watch event: 2
- Push event: 1
Dependencies
- actions/checkout v4 composite
- dieghernan/cff-validator main composite
- actions/checkout v4 composite
- setuptools *
- setuptools *