collaborative-tasks-benchmark
Collaborative Tasks Benchmark - 3D printable pieces for the study of collaborative assembly systems
https://github.com/robotics-and-ai/collaborative-tasks-benchmark
Science Score: 39.0%
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
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.5%) to scientific vocabulary
Repository
Collaborative Tasks Benchmark - 3D printable pieces for the study of collaborative assembly systems
Basic Info
Statistics
- Stars: 6
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Collaborative Tasks Benchmark (CT Benchmark)
Introduction
Benchmarks are crucial to help robotics research advance in an efficient and standardized manner, however, the collaborative assembly field lacks a benchmark with multiple tasks of varying task complexity. As such, we propose the Collaborative Tasks Benchmark (CT Benchmark). It contains 7 distinct tasks ranging from easy to difficult assembly scenarios, each with 1 to 3 parts, providing a rich environment for studying collaborative assembly systems. Its design was grounded on the following criteria:
- Contain independent sequential assembly tasks
- Tasks have a wide variety of sturdy and graspable 3D printable pieces
- Each piece has its own distinguishable features.
The benchmark mainly focuses on assisting in the development of collaborative systems, though it is also applicable towards any combination of its inherent sub-systems: task sequencing allocation, fully-robotic assembly, robot pick-and-place operations and visual perception.
Task description
The proposed benchmark is representative of a city landscape and contains a total of 7 unique tasks. The main assembly operations are wide tolerance insertion (WTI), tight tolerance insertion (TTI), screw fastening, snap fitting and two-handed actions.
| Task | Color | # sub-tasks | # parts | WTI | TTI | Screw | Snap-fit | Two-handed |
| :------: | :---------------------------------------------------------------------------------------------: | :---------: | :-----: | :---: | :---: | :---: | :------: | :--------: |
| Museum | | 1 | 1 | | | | | |
| Snap |
| 3 | 3 | | | | | |
| Bridge |
| 3 | 3 | | | | | |
| Triangle |
| 1 | 1 | | | | | |
| Wheel |
| 3 | 2 | | | | | |
| Dovetail |
| 2 | 2 | | | | | |
| Hospital |
| 4 | 3 | | | | | |
Benchmark deployment
| Essential hardware | Optional hardware |
|---|---|
|
|
3D printed buildings and base:
|
3D print corner pieces:
|
Additional material
In addition to the essential and optional hardware, three supports are made available to aid the assembly process. These supports were used to guarantee a repeatable setup in the accompanying article while performing the proposed manufacturing assembly scenarios.
Cite our paper
If you've found the CT Benchmark useful for your research, please cite our paper as follows:
@article{duarte2024benchmarking,
title = {Benchmarking human-robot collaborative assembly tasks},
author = {Laura Duarte and
Miguel Neves and
Pedro Neto},
journal = {Results in Engineering},
volume = {22},
year = {2024},
issn = {2590-1230},
doi = {10.1016/j.rineng.2024.102042}
}
Owner
- Name: Robotics-and-AI
- Login: Robotics-and-AI
- Kind: organization
- Repositories: 1
- Profile: https://github.com/Robotics-and-AI
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2