duallqr

Official implementation of the paper 'DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration'. Work submitted to ICRA 2025.

https://github.com/wur-abe/duallqr

Science Score: 54.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

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
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Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration

rt_loop

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

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'

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Dependencies

.github/workflows/citation.yml actions
  • actions/checkout v4 composite
  • dieghernan/cff-validator main composite
.github/workflows/license.yml actions
  • actions/checkout v4 composite
simulation_experiments/lfd_executor/setup.py pypi
  • setuptools *
simulation_experiments/reactive_arm_control/setup.py pypi
  • setuptools *