voke
Code accompanying the paper Vision-Based Online Key Point Estimation of Deformable Robots.
Science Score: 62.0%
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: ieee.org -
○Academic email domains
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✓Institutional organization owner
Organization srl-ethz has institutional domain (srl.ethz.ch) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Repository
Code accompanying the paper Vision-Based Online Key Point Estimation of Deformable Robots.
Basic Info
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files
README.md
Vision-Based Online Key Point Estimation of Deformable Robots
Code accompanying the paper Vision-Based Online Key Point Estimation of Deformable Robots.
Performance
Estimation errors with respect to the corresponding robot's length
| | Estimation Technique. | Number of Cameras | Robot Type | Robot Length (mm) | Tip Error | | --------------------------------: | :--------------------------: | :---------------: | :---------: | :---------------: | :-----------: | | VOKE (ours) | CNN | 2 | WaxCast arm | 335 | 0.3%±0.2% | | VOKE (ours) | CNN | 2 | SoPrA | 270 | 0.5%±0.4% | | VOKE (ours) | CNN | 2 | Soft fish | 115 | 0.6%±0.6% | | Camarillo et al. | 2D point-cloud fit | 3 | Soft arm | 160 | 4.8% | | Vandini et al. | Line feature detector | 1 | Soft arm | 260 | 2.8% | | Pedari et al. | LED light placement | 2 | Soft arm | 468* | 4.5% | | AlBeladi et al. | Edge detection & curve fit | 1 | Soft arm | 287 | 4.5%±3.1% |
* not provided, calculated based on their estimation data
Requirements and Installation
The repo was written using Python 3.8 with conda on Ubuntu 20.04
Datasets
For an easy start, you can download our processed dataset on three different types of soft robots from Google Drive.
To run with our example python code in python, specify --dataset_folder and --label_folder in config.py to the path where the preprocessed data is stored.
Owner
- Name: Soft Robotics Lab, ETH Zürich
- Login: srl-ethz
- Kind: organization
- Email: rkk@ethz.ch
- Location: Zürich, Switzerland
- Website: srl.ethz.ch
- Twitter: srl_ethz
- Repositories: 5
- Profile: https://github.com/srl-ethz
We develop soft and biohybrid robots. Our research laboratory that is part of the Institute for Robotics and Intelligent Systems at ETH
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Zheng
given-names: Hehui
orcid: https://orcid.org/0000-0002-4977-0220
- family-names: Pinzello
given-names: Sebastian
- family-names: Cangan
given-names: Barnabas Gavin
orcid: https://orcid.org/0000-0001-7810-6620
- family-names: Buchner
given-names: Thomas J. K.
orcid: https://orcid.org/0000-0003-0254-811X
- family-names: Katzschmann
given-names: Robert K.
orcid: https://orcid.org/0000-0001-7143-7259
title: "Code accompanying the paper Vision-Based Online Key Point Estimation of Deformable Robots."
identifiers:
- type: doi
value: 10.3929/ethz-b-000678014
date-released: 2024-06-14